• HOME
  • GROUP
  • RESEARCH
  • TEACHING
  • CONTACT

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 trustworthy AI/ML, health, privacy:

  • Coordinator and PI: European Lighthouse on Secure and Safe AI (ELSA)
  • 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)
  • PI: Integrated Early Warning System for Local Recognition, Prevention, and Control for Epidemic Outbreaks (LOKI)
  • 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 work on DeepFake detecting, misinformation, attribution,and responsible disclosure:

  • Usenix’23: UnGANable: Defending Against GAN-based Face Manipulation
  • ArXiv’22: Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
  • CVPR’22: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
  • ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
  • ICCV’21: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
  • S&P’21: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
  • IJCAI’21: Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
  • CVPR’21: Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
  • ICCV’19: Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Recent publications:

  • Usenix’23: UnGANable: Defending Against GAN-based Face Manipulation
  • NeurIPS’22: Private Set Generation with Discriminative Information
  • ICML’22: ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
  • CVPR’22: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
  • CVPR’22: B-cos Networks: Alignment is All We Need for Interpretability
  • CHIL’22: Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
  • ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
  • ICLR’22: RelaxLoss: Defending Membership Inference Attacks without Losing Utility
  • Usenix’22: ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
  • PETS’22: Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring
  • IJCV’21: Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
  • CCS-W’21: Differential Privacy Defenses and Sampling Attacks for Membership Inference
  • CCS-W’21: “What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
  • PKDD-W’21: IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis
  • PKDD-W’21: SampleFix: Learning to Generate Functionally Diverse Fixes
  • ICCV’21: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
  • ICCV’21: Dual Contrastive Loss and Attention for GANs
  • EXCLI’21: Privacy Considerations for Sharing Genomics Data
  • IJCAI’21: Beyond the Spectrum: Detecting Deepfakes 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

News, talks, events:

  • Talk at Deutscher EDV Gerichtstag
  • Talk at AI, Neuroscience and Hardware: From Neural to Artificial Systems and Back Again
  • Scientific Advisory Board: Bosch AIShield
  • Steering Board: Helmholtz.AI
  • Recent program committees: ICML’21, NeurIPS’21, S&P’22, EuroS&P’22, CVPR’22 (AC); CCS’22
  • 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 2022

Show all

2015

Journal Articles

Learning to detect visual grasp affordance

Hyun Oh Song; Mario Fritz; Daniel Goehring; Trevor Darrell

Learning to detect visual grasp affordance Journal Article

In: IEEE Transactions on Automation Science and Engineering (TASE), 2015.

Links | BibTeX | Tags: 2015

@article{song15tase,
title = {Learning to detect visual grasp affordance},
author = {Hyun Oh Song and Mario Fritz and Daniel Goehring and Trevor Darrell},
url = {https://scalable.mpi-inf.mpg.de/files/2015/02/main_tase.pdf
https://www.youtube.com/watch?v=C3HU1Tb5hF4},
year = {2015},
date = {2015-03-01},
journal = {IEEE Transactions on Automation Science and Engineering (TASE)},
keywords = {2015},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/02/main_tase.pdf
  • https://www.youtube.com/watch?v=C3HU1Tb5hF4

Close

Inproceedings

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2015, (oral).

Links | BibTeX | Tags: 2015

@inproceedings{malinowski15iccv,
title = {Ask Your Neurons: A Neural-based Approach to Answering Questions about Images},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {preliminary version:
http://arxiv.org/abs/1505.01121
http://arxiv.org/pdf/1505.01121.pdf
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge
please cite IJCV version: Ask Your Neurons: A Deep Learning Approach to Visual Question Answering},
year = {2015},
date = {2015-12-03},
urldate = {2015-12-03},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
note = {oral},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • http://arxiv.org/abs/1505.01121
  • http://arxiv.org/pdf/1505.01121.pdf
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge
  • please cite IJCV version: Ask Your Neurons: A Deep Learning Approach to Visual Q[...]

Close

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{chiu15iccv,
title = {See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG},
author = {Wei-Chen Chiu and Mario Fritz},
url = {https://sites.google.com/site/walonchiu/projects/diffhog
http://arxiv.org/abs/1505.00663
http://arxiv.org/pdf/1505.00663v4.pdf
},
year = {2015},
date = {2015-12-02},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://sites.google.com/site/walonchiu/projects/diffhog
  • http://arxiv.org/abs/1505.00663
  • http://arxiv.org/pdf/1505.00663v4.pdf

Close

Person Recognition in Personal Photo Collections

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

Person Recognition in Personal Photo Collections Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{oh15iccv,
title = {Person Recognition in Personal Photo Collections},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {http://arxiv.org/abs/1509.03502
https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/person-recognition-in-personal-photo-collections/
},
year = {2015},
date = {2015-12-01},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1509.03502
  • https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/[...]

Close

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors

Wenbin Li; Mario Fritz

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors Inproceedings

In: IEEE RAS International Conference on Humanoid Robots (HUMANOIDS), 2015, (to appear).

Links | BibTeX | Tags: 2015

@inproceedings{li15humanoids,
title = {Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors},
author = {Wenbin Li and Mario Fritz},
url = {https://scalable.mpi-inf.mpg.de/files/2015/10/main.pdf},
year = {2015},
date = {2015-11-03},
booktitle = {IEEE RAS International Conference on Humanoid Robots (HUMANOIDS)},
note = {to appear},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/10/main.pdf

Close

 Appearance-based gaze estimation in the wild

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

Appearance-based gaze estimation in the wild Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{xucong15cvpr,
title = { Appearance-based gaze estimation in the wild},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/zhang_CVPR15.pdf},
year = {2015},
date = {2015-08-02},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/09/zhang_CVPR15.pdf

Close

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{sattar15cvpr,
title = {Prediction of search targets from fixations in open-world settings},
author = {Hosnieh Sattar and Sabine Müller and Mario Fritz and Andreas Bulling},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/sattar15_cvpr.pdf},
year = {2015},
date = {2015-08-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/09/sattar15_cvpr.pdf

Close

Hard to Cheat: A Turing Test based on Answering Questions about Images

Mateusz Malinowski; Mario Fritz

Hard to Cheat: A Turing Test based on Answering Questions about Images Inproceedings

In: AAAI Workshop Beyond The Turing Test, 2015.

Links | BibTeX | Tags: 2015

@inproceedings{malinowski15aaai,
title = {Hard to Cheat: A Turing Test based on Answering Questions about Images},
author = {Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1501.03302
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2015},
date = {2015-01-30},
booktitle = {AAAI Workshop Beyond The Turing Test},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1501.03302
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge

Close

Masters Theses

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury

Contextual Media Retrieval Using Natural Language Queries Masters Thesis

Saarland University, 2015.

BibTeX | Tags: 2015

@mastersthesis{chowdhury15master,
title = {Contextual Media Retrieval Using Natural Language Queries},
author = {Sreyasi Nag Chowdhury},
year = {2015},
date = {2015-01-16},
school = {Saarland University},
keywords = {2015},
pubstate = {published},
tppubtype = {mastersthesis}
}

Close

Miscellaneous

Bridging the Gap Between Synthetic and Real Data

Mario Fritz

Bridging the Gap Between Synthetic and Real Data Miscellaneous

Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152), 2015, (to appear).

Links | BibTeX | Tags: 2015

@misc{fritz15dagstuhl,
title = {Bridging the Gap Between Synthetic and Real Data},
author = {Mario Fritz},
editor = {Trevor Darrell and Marius Kloft and Massimiliano Pontil and Gunnar Rätsch},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/mario_fritz.pdf},
year = {2015},
date = {2015-09-30},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
howpublished = {Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152)},
note = {to appear},
keywords = {2015},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/09/mario_fritz.pdf

Close

Technical Reports

Deep Reflectance Maps

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars

Deep Reflectance Maps Technical Report

arXiv:1511.04384 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{kostas15arxiv,
title = {Deep Reflectance Maps},
author = {Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Efstratios Gavves and Tinne Tuytelaars},
url = {http://arxiv.org/abs/1511.04384
http://arxiv.org/pdf/1511.04384.pdf
http://homes.cs.washington.edu/~krematas/DRM/},
year = {2015},
date = {2015-11-16},
type = {arXiv:1511.04384 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1511.04384
  • http://arxiv.org/pdf/1511.04384.pdf
  • http://homes.cs.washington.edu/~krematas/DRM/

Close

Person Recognition in Personal Photo Collections

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

Person Recognition in Personal Photo Collections Technical Report

arXiv:1509.03502 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{oh15arxiv,
title = {Person Recognition in Personal Photo Collections},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele}},
url = {http://arxiv.org/abs/1509.03502
http://arxiv.org/pdf/1509.03502v1.pdf},
year = {2015},
date = {2015-09-15},
type = {arXiv:1509.03502 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1509.03502
  • http://arxiv.org/pdf/1509.03502v1.pdf

Close

 Appearance-based gaze estimation in the wild

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

Appearance-based gaze estimation in the wild Technical Report

arXiv:1504.02863, 2015.

Links | BibTeX | Tags: 2015

@techreport{xucong15arxiv,
title = { Appearance-based gaze estimation in the wild},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {http://arxiv.org/abs/1504.02863
http://arxiv.org/pdf/1504.02863v1.pdf},
year = {2015},
date = {2015-07-16},
type = {arXiv:1504.02863},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1504.02863
  • http://arxiv.org/pdf/1504.02863v1.pdf

Close

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Technical Report

arXiv:1502.05137 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{sattar15arxiv,
title = {Prediction of search targets from fixations in open-world settings},
author = {Hosnieh Sattar and Sabine Müller and Mario Fritz and Andreas Bulling},
url = {http://arxiv.org/abs/1502.05137
http://arxiv.org/pdf/1502.05137v3.pdf},
year = {2015},
date = {2015-07-15},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
type = {arXiv:1502.05137 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1502.05137
  • http://arxiv.org/pdf/1502.05137v3.pdf

Close

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Technical Report

arXiv:1505.01121, 2015.

Links | BibTeX | Tags: 2015

@techreport{malinowski15arxiv,
title = {Ask Your Neurons: A Neural-based Approach to Answering Questions about Images},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {http://arxiv.org/abs/1505.01121
http://arxiv.org/pdf/1505.01121.pdf
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2015},
date = {2015-05-06},
urldate = {2015-05-06},
type = {arXiv:1505.01121},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1505.01121
  • http://arxiv.org/pdf/1505.01121.pdf
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge

Close

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Technical Report

arXiv:1505.00663 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{chiu15arxiv_hog,
title = {See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG},
author = {Wei-Chen Chiu and Mario Fritz},
url = {https://sites.google.com/site/walonchiu/projects/diffhog
http://arxiv.org/abs/1505.00663
http://arxiv.org/pdf/1505.00663v4.pdf},
year = {2015},
date = {2015-05-05},
type = {arXiv:1505.00663 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://sites.google.com/site/walonchiu/projects/diffhog
  • http://arxiv.org/abs/1505.00663
  • http://arxiv.org/pdf/1505.00663v4.pdf

Close

GazeDPM: Early Integration of Gaze Information in Deformable Part Models

Iaroslav Shcherbatyi; Andreas Bulling; Mario Fritz

GazeDPM: Early Integration of Gaze Information in Deformable Part Models Technical Report

arXiv:1505.05753 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{Shcherbatyi15arxiv,
title = {GazeDPM: Early Integration of Gaze Information in Deformable Part Models},
author = {Iaroslav Shcherbatyi and Andreas Bulling and Mario Fritz},
url = {http://arxiv.org/abs/1505.05753
http://arxiv.org/pdf/1505.05753v1.pdf},
year = {2015},
date = {2015-05-05},
type = {arXiv:1505.05753 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1505.05753
  • http://arxiv.org/pdf/1505.05753v1.pdf

Close


Imprint | Data Protection

    WordPress Theme Custom Community 2 developed by Macho Themes

    Back to Top