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Mario Fritz – CISPA Helmholtz Center for Information Security

Mario Fritz – CISPA Helmholtz Center for Information Security

Prof. Dr. Mario Fritz

Faculty
CISPA Helmholtz Center for Information Security

Professor
Saarland University

Fellow
European Laboratory for Learning and Intelligent Systems (ELLIS)


Google Scholar 
Semantic Scholar

We are looking for PhD students and Post-Docs! Please get in touch.

My group is working on Trustworthy Information Processing with a focus on the intersection of AI & Machine Learning with Security & Privacy.

Recent projects and initiatives related to health:

  • Leading Scientist
    Helmholtz Medical Security, Privacy, and AI Research Center (HMSP)
  • Coordinator and PI
    Trustworthy Federated Data Analytics Project (TFDA)
  • Coordinator and PI
    Protecting Genetic Data with Synthetic Cohorts from Deep Generative Models (PRO-GENE-GEN)
  • Partner-PI
    The German Human Genome-Phenome Archive (GHGA)
  • Member of working group in “Forum Gesundheit” of BMBF
    “AG Nutzbarmachung digitaler Daten für KI-Entwicklungen in der Gesundheitsforschung”

Recent publications:

  • IJCAI’21: Beyond the Spectrum: Detecting GAN-generated Images via Re-synthesis
  • S&P’21: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
  • CVPR’21: Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
  • CVPR’21: Convolutional Dynamic Alignment Networks for Interpretable Classifications
  • CVPR’21: Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
  • CVPR-W’21: MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
  • CVPR-W’21: InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
  • WACV’21: Future Moment Assessment for Action Query
  • NeurIPS’20: GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
  • NeurIPS-W’20: SampleFix: Learning to Correct Programs by Sampling Diverse Fixes
  • NeurIPS-W’20: IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis
  • NeurIPS-W’20: Haar Wavelet based Block Autoregressive Flows for Trajectories
  • CCS’20: VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity
  • CCS’20: GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
  • S&P’20: Automatically Detecting Bystanders in Photos to Reduce Privacy Risks
  • USENIX Security’20: Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
  • ICLR’20: Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks
  • CVPR’20: Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
  • CVPR’20: Normalizing Flows with Multi-scale Autoregressive Priors
  • ECCV’20: Towards Automated Testing and Robustification by Semantic Adversarial Data Generation
  • ECCV’20: Inclusive GAN: Improving Data and Minority Coverage in Generative Models
  • ECCV’20: Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
  • ECCV-W’20: Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction
  • ECCV-W’20: Synthetic Convolutional Features for Improved Semantic Segmentation
  • NEUCOM’20: Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations
  • GCPR’20: Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations
  • GCPR’20: Long-Tailed Recognition Using Class-Balanced Experts
  • GCPR’20: Haar Wavelet based Block Autoregressive Flows for Trajectories
  • TPAMI’20: Person Recognition in Personal Photo Collections
  • Explainable AI Book: Towards reverse-engineering black-box neural networks

Most recent work on ArXiv:

  • ArXiv’21 “What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
  • ArXiv’21: ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
  • ArXiv’21: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
  • ArXiv’20: CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning
  • ArXiv’20: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
  • ArXiv’20: Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries
  • ArXiv’20: Black-Box Watermarking for Generative Adversarial Networks
  • ArXiv’20: InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

News, talks, events:

  • Runner-up Inria/CNIL Privacy Protection Prize 2020
    S&P’20 paper: “Automatically Detecting Bystanders in Photos to Reduce Privacy Risks”
  • Co-Organizers of ICLR’21 Workshop on “Synthetic Data Generation – Quality, Privacy, Bias”
  • Co-Organizers of CVPR’21 Workshop on “QuoVadis: Interdisciplinary, Socio-Technical Workshop on the Future of Computer Vision and Pattern Recognition (QuoVadis-CVPR)”
  • Co-Organizers of CVPR’21 Workshop on “Causality in Vision”
  • Founding member of Saarbrücken Artificial Intelligence & Machine Learning (SAM) unit of the European Laboratory of Learning and Intelligent Systems (ELLIS)
  • Lecturer at Digital CISPA Summer School 2020
  • Co-Organizer of Third International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at ECCV 2020
  • Co-Organizer: 4. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’20
  • Keynote at Workshop Machine Learning for Cybersecurity, ECMLPKDD’19
  • Talk at Cyber Defense Campus (CYD) Conference on Artificial Intelligence in Defence and Security
  • Co-Organizer of Second International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at CVPR 2019
  • Co-Organizer: 3. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’19
  • Leading scientist at new Helmholtz Medical Security and Privacy Research Center
  • Member of ACM Technical Policy Committee Europe
  • Mateusz Malinowski received the DAGM MVTec dissertation award as well as the Dr.-Eduard-Martin award for his PhD
  • Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
2011 2013 2014 2015 2016 2017 2018 2019 2020 2021

Show all

2019

Journal Articles
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation Journal Article

Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Links | BibTeX | Tags: 2017, 2018, 2019

@article{xucong19tpami,
title = {MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://arxiv.org/abs/1711.09017
https://arxiv.org/pdf/1711.09017.pdf},
year = {2019},
date = {2019-02-04},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2017, 2018, 2019},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://arxiv.org/abs/1711.09017
  • https://arxiv.org/pdf/1711.09017.pdf

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2018

Journal Articles
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Efstratios Gavves; Mario Fritz; Luc Van Gool; Tinne Tuytelaars

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning Journal Article

Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

BibTeX | Tags: 2017, 2018

@article{gergoulis18tpami,
title = {Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning},
author = {Stamatios Georgoulis and Konstantinos Rematas and Tobias Ritschel and Efstratios Gavves and Mario Fritz and Luc Van Gool and Tinne Tuytelaars},
year = {2018},
date = {2018-01-01},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2017, 2018},
pubstate = {published},
tppubtype = {article}
}

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2017

Journal Articles
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering Journal Article

International Journal of Computer Vision (IJCV), 2017, (to appear).

Links | BibTeX | Tags: 2017

@article{malinowski17ijcv,
title = {Ask Your Neurons: A Deep Learning Approach to Visual Question Answering},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {http://arxiv.org/abs/1605.02697
https://arxiv.org/pdf/1605.02697},
year = {2017},
date = {2017-07-07},
journal = {International Journal of Computer Vision (IJCV)},
note = {to appear},
keywords = {2017},
pubstate = {published},
tppubtype = {article}
}

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  • http://arxiv.org/abs/1605.02697
  • https://arxiv.org/pdf/1605.02697

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Novel Views of Objects from a Single Image

Konstantinos Rematas; Chuong Nguyen; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Novel Views of Objects from a Single Image Journal Article

Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

Links | BibTeX | Tags: 2016, 2017

@article{rematas17tpami,
title = {Novel Views of Objects from a Single Image},
author = {Konstantinos Rematas and Chuong Nguyen and Tobias Ritschel and Mario Fritz and Tinne Tuytelaars},
url = {http://homes.cs.washington.edu/~krematas/ViewSynthesis/
http://arxiv.org/abs/1602.00328
http://arxiv.org/pdf/1602.00328},
year = {2017},
date = {2017-01-01},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2016, 2017},
pubstate = {published},
tppubtype = {article}
}

Close

  • http://homes.cs.washington.edu/~krematas/ViewSynthesis/
  • http://arxiv.org/abs/1602.00328
  • http://arxiv.org/pdf/1602.00328

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Inproceedings
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Hosnieh Sattar; Andreas Bulling; Mario Fritz

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Inproceedings

Mutual Benefits of Cognitive and Computer Vision Workshop at International Conference on Computer Vision (ICCV-W), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{sattar17iccvw,
title = {Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling},
author = {Hosnieh Sattar and Andreas Bulling and Mario Fritz},
url = {https://arxiv.org/abs/1611.10162
https://arxiv.org/pdf/1611.10162.pdf
https://www.youtube.com/watch?v=wPeyK5jkjUU},
year = {2017},
date = {2017-10-30},
booktitle = {Mutual Benefits of Cognitive and Computer Vision Workshop at International Conference on Computer Vision (ICCV-W)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1611.10162
  • https://arxiv.org/pdf/1611.10162.pdf
  • https://www.youtube.com/watch?v=wPeyK5jkjUU

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Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{orekondy17iccv,
title = {Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images},
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1703.10660
https://arxiv.org/pdf/1703.10660.pdf
https://tribhuvanesh.github.io/vpa/},
year = {2017},
date = {2017-10-29},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1703.10660
  • https://arxiv.org/pdf/1703.10660.pdf
  • https://tribhuvanesh.github.io/vpa/

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Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Rakshith Shetty; Marcus Rohrbach; Lisa Anne Hendricks; Mario Fritz; Bernt Schiele

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{rakshith17iccv,
title = {Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training},
author = {Rakshith Shetty and Marcus Rohrbach and Lisa Anne Hendricks and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.10476
https://arxiv.org/pdf/1703.10476.pdf},
year = {2017},
date = {2017-10-28},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/1703.10476
  • https://arxiv.org/pdf/1703.10476.pdf

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Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

Seong Joon Oh; Mario Fritz; Bernt Schiele

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2017, 2017.

Links | BibTeX | Tags: 2017

@inproceedings{oh17iccv,
title = {Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective},
author = {Seong Joon Oh and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.09471
https://arxiv.org/pdf/1703.09471.pdf},
year = {2017},
date = {2017-10-27},
booktitle = {IEEE International Conference on Computer Vision (ICCV), 2017},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1703.09471
  • https://arxiv.org/pdf/1703.09471.pdf

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What Is Around The Camera?

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars; Luc Van Gool

What Is Around The Camera? Inproceedings

IEEE International Conference on Computer Vision (ICCV), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{stam17iccv,
title = {What Is Around The Camera?},
author = {Stamatios Georgoulis and Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Tinne Tuytelaars and Luc Van Gool},
url = {https://arxiv.org/abs/1611.09325
https://arxiv.org/pdf/1611.09325.pdf},
year = {2017},
date = {2017-10-26},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1611.09325
  • https://arxiv.org/pdf/1611.09325.pdf

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Learning Dilation Factors for Semantic Segmentation of Street Scenes

Yang He; Margret Keuper; Bernt Schiele; Mario Fritz

Learning Dilation Factors for Semantic Segmentation of Street Scenes Inproceedings

German Conference on Pattern Recognition (GCPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{he17gcpr,
title = {Learning Dilation Factors for Semantic Segmentation of Street Scenes},
author = {Yang He and Margret Keuper and Bernt Schiele and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main51.pdf},
year = {2017},
date = {2017-09-13},
booktitle = {German Conference on Pattern Recognition (GCPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main51.[...]

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STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Yang He; Wei-Chen Chiu; Margret Keuper; Mario Fritz

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{yang17cvpr,
title = {STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling},
author = {Yang He and Wei-Chen Chiu and Margret Keuper and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr2017.pdf
https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/2002-supp.pdf},
year = {2017},
date = {2017-07-25},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr201[...]
  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/2002-su[...]

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A Domain Based Approach to Social Relation Recognition

Qianru Sun; Bernt Schiele; Mario Fritz

A Domain Based Approach to Social Relation Recognition Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{sun17cvpr,
title = {A Domain Based Approach to Social Relation Recognition},
author = {Qianru Sun and Bernt Schiele and Mario Fritz },
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main_paper.pdf
https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1289-supp.pdf},
year = {2017},
date = {2017-07-24},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main_pa[...]
  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1289-su[...]

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Exploiting saliency for object segmentation from image level labels

Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele

Exploiting saliency for object segmentation from image level labels Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{joon17cvpr,
title = {Exploiting saliency for object segmentation from image level labels},
author = {Seong Joon Oh and Rodrigo Benenson and Anna Khoreva and Zeynep Akata and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr2017-1.pdf
https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1802-supp.pdf},
year = {2017},
date = {2017-07-23},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr201[...]
  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1802-su[...]

Close

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation Inproceedings

1st International Workshop on Deep Affective Learning and Context Modeling at Computer Vision and Pattern Recognition Conference (CVPR-W), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{xucong17cvprw,
title = {It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://arxiv.org/abs/1611.08860
https://arxiv.org/pdf/1611.08860.pdf},
year = {2017},
date = {2017-07-22},
booktitle = {1st International Workshop on Deep Affective Learning and Context Modeling at Computer Vision and Pattern Recognition Conference (CVPR-W)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1611.08860
  • https://arxiv.org/pdf/1611.08860.pdf

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Visual Stability Prediction for Robotic Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction for Robotic Manipulation Inproceedings

IEEE International Conference on Robotics and Automation (ICRA), 2017, (to appear).

Links | BibTeX | Tags: 2017

@inproceedings{li17icra,
title = {Visual Stability Prediction for Robotic Manipulation},
author = {Wenbin Li and Ales Leonardis and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/icra2017-visualstabilitypredictionforroboticmanipulation.pdf},
year = {2017},
date = {2017-05-23},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
note = {to appear},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/icra201[...]

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Miscellaneous
Long-Term On-Board Prediction of Pedestrians in Traffic Scenes

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Long-Term On-Board Prediction of Pedestrians in Traffic Scenes Miscellaneous

Conference on Robot Learning (CoRL), 2017.

Links | BibTeX | Tags: 2017

@misc{apratim17corl,
title = {Long-Term On-Board Prediction of Pedestrians in Traffic Scenes},
author = {Apratim Bhattacharyya and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/CoRL2017_final.pdf},
year = {2017},
date = {2017-10-29},
howpublished = {Conference on Robot Learning (CoRL)},
keywords = {2017},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/CoRL201[...]

Close

From Understanding to Controlling Privacy against Automatic Person Identification in Social Media

Seong Joon Oh; Mario Fritz; Bernt Schiele

From Understanding to Controlling Privacy against Automatic Person Identification in Social Media Miscellaneous

The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2017), 2017.

Links | BibTeX | Tags: 2017

@misc{oh17iccvw,
title = {From Understanding to Controlling Privacy against Automatic Person Identification in Social Media},
author = {Seong Joon Oh and Mario Fritz and Bernt Schiele},
url = {http://vision.soic.indiana.edu/bright-and-dark-workshop-2017/From_Understanding_to_Controlling_Privacy_against_Automatic_Person_Recognition_in_Social_Media.pdf},
year = {2017},
date = {2017-07-21},
howpublished = {The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2017)},
keywords = {2017},
pubstate = {published},
tppubtype = {misc}
}

Close

  • http://vision.soic.indiana.edu/bright-and-dark-workshop-2017/From_Understanding_[...]

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Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Miscellaneous

AAAI Spring Symposium Series: Interactive Multi-Sensory Object Perception for Embodied Agents, 2017.

Links | BibTeX | Tags: 2017

@misc{li16aaai,
title = {Visual Stability Prediction and Its Application to Manipulation},
author = {Wenbin Li and Ales Leonardis and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/aaai-visualstabilitymanipulation.pdf
extended version:
https://arxiv.org/abs/1609.04861},
year = {2017},
date = {2017-01-01},
howpublished = {AAAI Spring Symposium Series: Interactive Multi-Sensory Object Perception for Embodied Agents},
keywords = {2017},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/aaai-vi[...]
  • extended version:
  • https://arxiv.org/abs/1609.04861

Close

Technical Reports
Disentangled Person Image Generation

Liqian Ma; Qianru Sun; Stamatios Georgoulis; Luc Van Gool; Bernt Schiele; Mario Fritz

Disentangled Person Image Generation Technical Report

arXiv:1712.02621 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{ma17arxiv,
title = {Disentangled Person Image Generation},
author = {Liqian Ma and Qianru Sun and Stamatios Georgoulis and Luc Van Gool and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1712.02621
https://arxiv.org/pdf/1712.02621.pdf},
year = {2017},
date = {2017-12-08},
type = {arXiv:1712.02621 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1712.02621
  • https://arxiv.org/pdf/1712.02621.pdf

Close

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Tribhuvanesh Orekondy; Mario Fritz; Bernt Schiele

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Technical Report

arXiv:1712.01066 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{orekondy17arxiv,
title = {Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images},
author = {Tribhuvanesh Orekondy and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1712.01066
https://arxiv.org/pdf/1712.01066.pdf},
year = {2017},
date = {2017-12-05},
type = {arXiv:1712.01066 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1712.01066
  • https://arxiv.org/pdf/1712.01066.pdf

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Natural and Effective Obfuscation by Head Inpainting

Qianru Sun; Liqian Ma; Seong Joon Oh; Luc Van Gool; Bernt Schiele; Mario Fritz

Natural and Effective Obfuscation by Head Inpainting Technical Report

arXiv:1711.09001 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{sun17arix,
title = {Natural and Effective Obfuscation by Head Inpainting},
author = {Qianru Sun and Liqian Ma and Seong Joon Oh and Luc Van Gool and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1711.09001
https://arxiv.org/pdf/1711.09001.pdf},
year = {2017},
date = {2017-11-27},
type = {arXiv:1711.09001 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.09001
  • https://arxiv.org/pdf/1711.09001.pdf

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Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Technical Report

arXiv:1711.09026 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{apratim17arxiv,
title = {Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty},
author = {Apratim Bhattacharyya and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1711.09026
https://arxiv.org/pdf/1711.09026.pdf
},
year = {2017},
date = {2017-11-26},
type = {arXiv:1711.09026 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.09026
  • https://arxiv.org/pdf/1711.09026.pdf

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A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Rakshith Shetty; Bernt Schiele; Mario Fritz

A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation Technical Report

arXiv:1711.01921, 2017.

Links | BibTeX | Tags: 2017

@techreport{rakshith17arxivb,
title = {A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation},
author = {Rakshith Shetty and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1711.01921
https://arxiv.org/pdf/1711.01921.pdf},
year = {2017},
date = {2017-11-08},
type = {arXiv:1711.01921},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.01921
  • https://arxiv.org/pdf/1711.01921.pdf

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Whitening Black-Box Neural Networks

Seong Joon Oh; Max Augustin; Bernt Schiele; Mario Fritz

Whitening Black-Box Neural Networks Technical Report

arXiv:1711.01768, 2017.

Links | BibTeX | Tags: 2017

@techreport{oh17arxiv2b,
title = {Whitening Black-Box Neural Networks},
author = {Seong Joon Oh and Max Augustin and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1711.01768
https://arxiv.org/pdf/1711.01768.pdf},
year = {2017},
date = {2017-11-07},
type = {arXiv:1711.01768},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.01768
  • https://arxiv.org/pdf/1711.01768.pdf

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Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning

Wenbin Li; Jeannette Bohg; Mario Fritz

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning Technical Report

arXiv:1711.00267, 2017.

Links | BibTeX | Tags: 2017

@techreport{li17arxiv,
title = {Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning},
author = {Wenbin Li and Jeannette Bohg and Mario Fritz},
url = {https://arxiv.org/abs/1711.00267
https://arxiv.org/pdf/1711.00267.pdf},
year = {2017},
date = {2017-11-06},
type = {arXiv:1711.00267},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.00267
  • https://arxiv.org/pdf/1711.00267.pdf

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Person Recognition in Social Media Photos

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Social Media Photos Technical Report

(arXiv:1710.03224 [cs.CV]), 2017.

Links | BibTeX | Tags: 2017

@techreport{oh07arxiv,
title = {Person Recognition in Social Media Photos},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1710.03224
https://arxiv.org/pdf/1710.03224.pdf},
year = {2017},
date = {2017-10-09},
number = {arXiv:1710.03224 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1710.03224
  • https://arxiv.org/pdf/1710.03224.pdf

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Advanced Steel Microstructure Classification by Deep Learning Methods

Seyed Majid Azimi; Dominik Britz; Michael Engstler; Mario Fritz; Frank Muecklich

Advanced Steel Microstructure Classification by Deep Learning Methods Technical Report

arXiv:1706.06480 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{azimi17arxiv,
title = {Advanced Steel Microstructure Classification by Deep Learning Methods},
author = {Seyed Majid Azimi and Dominik Britz and Michael Engstler and Mario Fritz and Frank Muecklich},
url = {https://arxiv.org/abs/1706.06480
https://arxiv.org/pdf/1706.06480.pdf},
year = {2017},
date = {2017-06-21},
type = {arXiv:1706.06480 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1706.06480
  • https://arxiv.org/pdf/1706.06480.pdf

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Visual Decoding of Targets During Visual Search From Human Eye Fixations

Hosnieh Sattar; Mario Fritz; Andreas Bulling

Visual Decoding of Targets During Visual Search From Human Eye Fixations Technical Report

arXiv:1706.05993 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{sattar17arxiv,
title = {Visual Decoding of Targets During Visual Search From Human Eye Fixations},
author = {Hosnieh Sattar and Mario Fritz and Andreas Bulling},
url = {https://arxiv.org/abs/1706.05993
https://arxiv.org/pdf/1706.05993.pdf},
year = {2017},
date = {2017-06-19},
type = {arXiv:1706.05993 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1706.05993
  • https://arxiv.org/pdf/1706.05993.pdf

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Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Technical Report

arXiv:1703.10660 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{tribhu17arxiv,
title = {Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images},
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1703.10660
https://arxiv.org/pdf/1703.10660.pdf
},
year = {2017},
date = {2017-04-03},
type = {arXiv:1703.10660 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1703.10660
  • https://arxiv.org/pdf/1703.10660.pdf

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Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Rakshith Shetty; Marcus Rohrbach; Lisa Anne Hendricks; Mario Fritz; Bernt Schiele

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Technical Report

arXiv:1703.10476 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{rakshith17arxiv,
title = {Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training},
author = {Rakshith Shetty and Marcus Rohrbach and Lisa Anne Hendricks and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.10476
https://arxiv.org/pdf/1703.10476.pdf},
year = {2017},
date = {2017-03-31},
type = {arXiv:1703.10476 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1703.10476
  • https://arxiv.org/pdf/1703.10476.pdf

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Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

Seong Joon Oh; Mario Fritz; Bernt Schiele

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Technical Report

arXiv:1703.09471 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{oh17arxiv2,
title = {Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective},
author = {Seong Joon Oh and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.09471
https://arxiv.org/pdf/1703.09471.pdf},
year = {2017},
date = {2017-03-30},
type = {arXiv:1703.09471 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1703.09471
  • https://arxiv.org/pdf/1703.09471.pdf

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Exploiting saliency for object segmentation from image level labels

Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele

Exploiting saliency for object segmentation from image level labels Technical Report

arXiv:1701.08261 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{oh17arxiv,
title = {Exploiting saliency for object segmentation from image level labels},
author = {Seong Joon Oh and Rodrigo Benenson and Anna Khoreva and Zeynep Akata and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1701.08261
https://arxiv.org/pdf/1701.08261.pdf},
year = {2017},
date = {2017-01-31},
type = {arXiv:1701.08261 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1701.08261
  • https://arxiv.org/pdf/1701.08261.pdf

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2016

Technical Reports
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Hosnieh Sattar; Andreas Bulling; Mario Fritz

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Technical Report

arXiv:1611.10162 [cs.CV], 2016.

Links | BibTeX | Tags: 2016, 2017

@techreport{sattar16arxiv,
title = {Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling},
author = {Hosnieh Sattar and Andreas Bulling and Mario Fritz},
url = {https://arxiv.org/abs/1611.10162
https://arxiv.org/pdf/1611.10162.pdf},
year = {2016},
date = {2016-12-01},
type = {arXiv:1611.10162 [cs.CV]},
keywords = {2016, 2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1611.10162
  • https://arxiv.org/pdf/1611.10162.pdf

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