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:
Recent work on DeepFake/misinformation detection, attribution, and responsible disclosure:
- ArXiv’23: More than you’ve asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models
- Usenix’23: UnGANable: Defending Against GAN-based Face Manipulation
- Usenix’23: 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: Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
- 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
Most recent work on ArXiv:
- More than you’ve asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models
- Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy
- Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models
- Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy
- Holistically Explainable Vision Transformers
- SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models
- Availability Attacks Against Neural Network Certifiers Based on Backdoors
News, talks, events:
2020
Journal Articles
Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele
Person Recognition in Personal Photo Collections Journal Article
In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
@article{oh20tpami,
title = { Person Recognition in Personal Photo Collections },
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {https://ieeexplore.ieee.org/document/8519337?source=authoralert},
year = {2020},
date = {2020-01-01},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2020},
pubstate = {published},
tppubtype = {article}
}
Hosnieh Sattar; Mario Fritz; Andreas Bulling
Deep Gaze Pooling: Inferring and Visually Decoding Search Intents From Human Gaze Fixations Journal Article
In: Neurocomputing, vol. 387, pp. 369–382, 2020.
@article{sattar20_neurocomp,
title = {Deep Gaze Pooling: Inferring and Visually Decoding Search Intents From Human Gaze Fixations},
author = {Hosnieh Sattar and Mario Fritz and Andreas Bulling},
url = {https://www.perceptualui.org/publications/sattar20_neurocomp.pdf},
doi = {10.1016/j.neucom.2020.01.028},
year = {2020},
date = {2020-01-01},
journal = {Neurocomputing},
volume = {387},
pages = {369–382},
keywords = {2020},
pubstate = {published},
tppubtype = {article}
}
Inproceedings
Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Inproceedings
In: Neural Information Processing Systems (NeurIPS), 2020.
@inproceedings{neurips20chen,
title = {GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators},
author = {Dingfan Chen and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://arxiv.org/abs/2006.08265
https://arxiv.org/pdf/2006.08265.pdf},
year = {2020},
date = {2020-12-06},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Inproceedings
In: ACM Conference on Computer and Communications Security (CCS) , 2020.
@inproceedings{chen20ccs,
title = {GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs},
author = {Dingfan Chen and Ning Yu and Yang Zhang and Mario Fritz},
url = {https://arxiv.org/abs/1909.03935
https://arxiv.org/pdf/1909.03935.pdf},
year = {2020},
date = {2020-11-09},
booktitle = {ACM Conference on Computer and Communications Security (CCS) },
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Sahar Abdelnabi; Katharina Krombholz; Mario Fritz
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity Inproceedings
In: ACM Conference on Computer and Communications Security (CCS) , 2020.
@inproceedings{abdelnabi20ccs,
title = {VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity},
author = {Sahar Abdelnabi and Katharina Krombholz and Mario Fritz},
url = {https://arxiv.org/abs/1909.00300
https://arxiv.org/pdf/1909.00300.pdf},
year = {2020},
date = {2020-11-09},
booktitle = {ACM Conference on Computer and Communications Security (CCS) },
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Apratim Bhattacharyya; Christoph-Nikolas Straehle; Mario Fritz; Bernt Schiele
Haar Wavelet based Block Autoregressive Flows for Trajectories Inproceedings
In: German Conference on Pattern Recognition (GCPR), 2020.
@inproceedings{gcpr20bhattacharyya,
title = {Haar Wavelet based Block Autoregressive Flows for Trajectories},
author = {Apratim Bhattacharyya and Christoph-Nikolas Straehle and Mario Fritz and Bernt Schiele},
url = {https://unitc-my.sharepoint.com/personal/iigaf01_cloud_uni-tuebingen_de/Documents/gcpr_vmv_vcbm/gcpr/preprints/Apratim_Bhattacharyy_gcpr_0067_v01.pdf?originalPath=aHR0cHM6Ly91bml0Yy1teS5zaGFyZXBvaW50LmNvbS86YjovZy9wZXJzb25hbC9paWdhZjAxX2Nsb3VkX3VuaS10dWViaW5nZW5fZGUvRVpsOHdqUWRjdXhBa2VpTEo3NmNET3dCd2FQZjZpY2xUSTUxNkJ6VjdmbUV1dz9ydGltZT03YzZyZUgxbzJFZw
https://arxiv.org/abs/2009.09878
https://arxiv.org/pdf/2009.09878.pdf},
year = {2020},
date = {2020-09-30},
booktitle = {German Conference on Pattern Recognition (GCPR)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele
Long-Tailed Recognition Using Class-Balanced Experts Inproceedings
In: German Conference on Pattern Recognition (GCPR), 2020.
@inproceedings{gcpr20sharma,
title = {Long-Tailed Recognition Using Class-Balanced Experts},
author = {Saurabh Sharma and Ning Yu and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/2004.03706
https://arxiv.org/pdf/2004.03706.pdf},
year = {2020},
date = {2020-09-29},
booktitle = {German Conference on Pattern Recognition (GCPR)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Max Losch; Mario Fritz; Bernt Schiele
Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations Inproceedings
In: German Conference on Patter Recognition (GCPR), 2020.
@inproceedings{gcpr20losch,
title = {Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations},
author = {Max Losch and Mario Fritz and Bernt Schiele},
url = {https://unitc-my.sharepoint.com/personal/iigaf01_cloud_uni-tuebingen_de/Documents/gcpr_vmv_vcbm/gcpr/preprints/gcpr_0028_v01.pdf?originalPath=aHR0cHM6Ly91bml0Yy1teS5zaGFyZXBvaW50LmNvbS86YjovZy9wZXJzb25hbC9paWdhZjAxX2Nsb3VkX3VuaS10dWViaW5nZW5fZGUvRVhYM0ZsVEczS2RGaDZ3aDc4T1FBQWNCSGE5VmJwNWFFeDFZUURiSmZER21rdz9ydGltZT1WR052OUgxbzJFZw},
year = {2020},
date = {2020-09-29},
booktitle = {German Conference on Patter Recognition (GCPR)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Rakshith Shetty; Mario Fritz; Bernt Schiele
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation Inproceedings
In: European Conference on Computer Vision (ECCV), 2020.
@inproceedings{shetty20eccv,
title = {Towards Automated Testing and Robustification by Semantic Adversarial Data Generation},
author = {Rakshith Shetty and Mario Fritz and Bernt Schiele},
url = {https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470477.pdf},
year = {2020},
date = {2020-08-23},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Ning Yu; Ke Li; Peng Zhou; Jitendra Malik; Larry S. Davis; Mario Fritz
Inclusive GAN: Improving Data and Minority Coverage in Generative Models Inproceedings
In: European Conference on Computer Vision (ECCV), 2020.
@inproceedings{yu20eccv,
title = {Inclusive GAN: Improving Data and Minority Coverage in Generative Models},
author = {Ning Yu and Ke Li and Peng Zhou and Jitendra Malik and Larry S. Davis and Mario Fritz},
url = {https://arxiv.org/abs/2004.03355
https://arxiv.org/pdf/2004.03355.pdf},
year = {2020},
date = {2020-08-23},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Yang He; Shadi Rahimian; Bernt Schiele; Mario Fritz
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Inproceedings
In: European Conference on Computer Vision (ECCV), 2020.
@inproceedings{he20eccv,
title = {Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation},
author = {Yang He and Shadi Rahimian and Bernt Schiele and Mario Fritz},
url = {https://github.com/SSAW14/segmentation_membership_inference
https://arxiv.org/abs/1912.09685
https://arxiv.org/pdf/1912.09685.pdf},
year = {2020},
date = {2020-08-23},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Ahmed Salem; Apratim Bhattacharyya; Michael Backes; Mario Fritz; Yang Zhang
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Inproceedings
In: USENIX Security Symposium (USENIX Security 20), 2020.
@inproceedings{salem20usenix,
title = {Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning},
author = {Ahmed Salem and Apratim Bhattacharyya and Michael Backes and Mario Fritz and Yang Zhang},
url = {preliminary version:
https://arxiv.org/abs/1904.01067
https://arxiv.org/pdf/1904.01067.pdf},
year = {2020},
date = {2020-08-12},
booktitle = {USENIX Security Symposium (USENIX Security 20)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Vedika Agarwal; Rakshith Shetty; Mario Fritz
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition, 2020.
@inproceedings{agarwal20cvpr,
title = {Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing},
author = {Vedika Agarwal and Rakshith Shetty and Mario Fritz
},
url = {preliminary version:
https://arxiv.org/abs/1912.07538
https://arxiv.org/pdf/1912.07538.pdf
https://rakshithshetty.github.io/CausalVQA/},
year = {2020},
date = {2020-06-15},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Apratim Bhattacharyya; Shweta Mahajan; Mario Fritz; Bernt Schiele; Stefan Roth
Normalizing Flows with Multi-scale Autoregressive Priors Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition, 2020.
@inproceedings{apratim20cvpr,
title = {Normalizing Flows with Multi-scale Autoregressive Priors},
author = {Apratim Bhattacharyya and Shweta Mahajan and Mario Fritz and Bernt Schiele and Stefan Roth},
url = {https://arxiv.org/abs/2004.03891
https://arxiv.org/pdf/2004.03891.pdf
https://github.com/visinf/mar-scf},
year = {2020},
date = {2020-06-14},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Rakibul Hasan; David Crandall; Mario Fritz; Apu Kapadia
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks Inproceedings
In: IEEE Symposium on Security and Privacy (S&P), 2020.
@inproceedings{hasan20sp,
title = {Automatically Detecting Bystanders in Photos to Reduce Privacy Risks},
author = {Rakibul Hasan and David Crandall and Mario Fritz and Apu Kapadia},
url = {https://homes.luddy.indiana.edu/kapadia/papers/hasan-oakland-20-preprint.pdf
https://www.youtube.com/watch?v=TDupeMj0bXg
https://www.youtube.com/watch?v=uwKM_S8RpTQ
},
year = {2020},
date = {2020-05-18},
booktitle = {IEEE Symposium on Security and Privacy (S&P)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}
Technical Reports
Yang He; Maximilian Zenk; Mario Fritz
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning Technical Report
arXiv:2012.08241 , 2020.
@techreport{yang20arxiv,
title = {CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning},
author = {Yang He and Maximilian Zenk and Mario Fritz},
url = {https://arxiv.org/abs/2012.08241
https://arxiv.org/pdf/2012.08241.pdf},
year = {2020},
date = {2020-12-15},
type = {arXiv:2012.08241 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Ning Yu; Vladislav Skripniuk; Dingfan Chen; Larry Davis; Mario Fritz
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Technical Report
arXiv:2012.08726 , 2020.
@techreport{yu20arxiv,
title = {Responsible Disclosure of Generative Models Using Scalable Fingerprinting},
author = {Ning Yu and Vladislav Skripniuk and Dingfan Chen and Larry Davis and Mario Fritz},
url = {https://arxiv.org/abs/2012.08726
https://arxiv.org/pdf/2012.08726.pdf},
year = {2020},
date = {2020-12-15},
type = {arXiv:2012.08726 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Hui-Po Wang; Ning Yu; Mario Fritz
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Technical Report
arXiv:2011.14107 , 2020.
@techreport{po20arxiv,
title = {Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs},
author = {Hui-Po Wang and Ning Yu and Mario Fritz},
url = {https://arxiv.org/abs/2011.14107
https://arxiv.org/pdf/2011.14107.pdf},
year = {2020},
date = {2020-11-28},
type = {arXiv:2011.14107 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Sahar Abdelnabi; Mario Fritz
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Technical Report
arXiv:2009.03015 [cs.CR], 2020.
@techreport{abdelnabi20arxiv,
title = {Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding},
author = {Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2009.03015
https://arxiv.org/pdf/2009.03015.pdf},
year = {2020},
date = {2020-09-07},
type = {arXiv:2009.03015 [cs.CR]},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Vladislav Skripniuk; Ning Yu; Sahar Abdelnabi; Mario Fritz
Black-Box Watermarking for Generative Adversarial Networks Technical Report
arXiv:2007.08457, 2020.
@techreport{arxiv20skripniuk,
title = {Black-Box Watermarking for Generative Adversarial Networks},
author = {Vladislav Skripniuk and Ning Yu and Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2007.08457
https://arxiv.org/pdf/2007.08457.pdf},
year = {2020},
date = {2020-07-17},
type = {arXiv:2007.08457},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Hossein Hajipour; Mateusz Malinowski; Mario Fritz
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Technical Report
arXiv:2006.10720, 2020.
@techreport{hajipour20arxiv,
title = {IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis},
author = {Hossein Hajipour and Mateusz Malinowski and Mario Fritz},
url = {https://arxiv.org/abs/2006.10720
https://arxiv.org/pdf/2006.10720.pdf},
year = {2020},
date = {2020-06-18},
type = {arXiv:2006.10720},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Technical Report
arXiv:2006.08265 , 2020.
@techreport{chen20arxiv,
title = {GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators},
author = {Dingfan Chen and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://arxiv.org/abs/2006.08265
https://arxiv.org/pdf/2006.08265.pdf},
year = {2020},
date = {2020-06-16},
type = {arXiv:2006.08265 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Ning Yu; Ke Li; Peng Zhou; Jitendra Malik; Larry Davis; Mario Fritz
Inclusive GAN: Improving Data and Minority Coverage in Generative Models Technical Report
2020.
@techreport{ning20arxiv,
title = { Inclusive GAN: Improving Data and Minority Coverage in Generative Models },
author = {Ning Yu and Ke Li and Peng Zhou and Jitendra Malik and Larry Davis and Mario Fritz},
url = {https://arxiv.org/abs/2004.03355
https://arxiv.org/pdf/2004.03355.pdf},
year = {2020},
date = {2020-04-07},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele
Long-Tailed Recognition Using Class-Balanced Experts Technical Report
arXiv:2004.03706 , 2020.
@techreport{sharma20arxiv,
title = {Long-Tailed Recognition Using Class-Balanced Experts},
author = {Saurabh Sharma and Ning Yu and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/2004.03706
https://arxiv.org/pdf/2004.03706.pdf},
year = {2020},
date = {2020-04-07},
type = {arXiv:2004.03706 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}
Workshops
Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Workshop
NeurIPS Workshop on Computer-Assisted Programming, 2020.
@workshop{hajipour20neuripscap,
title = {SampleFix: Learning to Correct Programs by Sampling Diverse Fixes},
author = {Hossein Hajipour and Apratim Bhattacharyya and Mario Fritz},
url = {https://arxiv.org/abs/1906.10502
https://arxiv.org/pdf/1906.10502.pdf},
year = {2020},
date = {2020-12-06},
urldate = {2020-12-06},
booktitle = {NeurIPS Workshop on Computer-Assisted Programming},
keywords = {2019, 2020},
pubstate = {published},
tppubtype = {workshop}
}
Hossein Hajipour; Mateusz Malinowski; Mario Fritz
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Workshop
NeurIPS Workshop on Computer-Assisted Programming, 2020.
@workshop{neuripscap20hajipour,
title = {IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis},
author = {Hossein Hajipour and Mateusz Malinowski and Mario Fritz},
url = {https://arxiv.org/abs/2006.10720
https://arxiv.org/pdf/2006.10720.pdf},
year = {2020},
date = {2020-12-06},
booktitle = {NeurIPS Workshop on Computer-Assisted Programming},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}
Apratim Bhattacharyya; Christoph-Nikolas Straehle; Mario Fritz; Bernt Schiele
Haar Wavelet based Block Autoregressive Flows for Trajectories Workshop
NeurIPS Workshop on Machine Learning for Autonomous Driving, 2020.
@workshop{neuripsml4ad20apratim,
title = {Haar Wavelet based Block Autoregressive Flows for Trajectories},
author = {Apratim Bhattacharyya and Christoph-Nikolas Straehle and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/2009.09878
https://arxiv.org/pdf/2009.09878.pdf},
year = {2020},
date = {2020-12-06},
booktitle = {NeurIPS Workshop on Machine Learning for Autonomous Driving},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}
Hosnieh Sattar; Katharina Krombholz; Gerard Pons-Moll; Mario Fritz
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction Workshop
Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security CVCOPS (ECCV-W), 2020.
@workshop{cvcops20sattar,
title = {Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction},
author = {Hosnieh Sattar and Katharina Krombholz and Gerard Pons-Moll and Mario Fritz
},
url = {https://arxiv.org/abs/1905.11503
https://arxiv.org/pdf/1905.11503.pdf},
year = {2020},
date = {2020-08-28},
booktitle = {Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security CVCOPS (ECCV-W)},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}
Yang He; Bernt Schiele; Mario Fritz
Synthetic Convolutional Features for Improved Semantic Segmentation Workshop
Workshop on Assistive Computer Vision and Robotics at European Conference on Computer Vision (ECCV-W), 2020.
@workshop{eccvw20he,
title = {Synthetic Convolutional Features for Improved Semantic Segmentation},
author = {Yang He and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/2009.08849
https://arxiv.org/pdf/2009.08849.pdf},
year = {2020},
date = {2020-08-28},
booktitle = {Workshop on Assistive Computer Vision and Robotics at European Conference on Computer Vision (ECCV-W)},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}
2019
Technical Reports
Yang He; Shadi Rahimian; Bernt Schiele; Mario Fritz
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Technical Report
arXiv:1912.09685, 2019.
@techreport{he19arxiv,
title = {Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation},
author = {Yang He and Shadi Rahimian and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1912.09685
https://arxiv.org/pdf/1912.09685.pdf},
year = {2019},
date = {2019-12-19},
type = {arXiv:1912.09685},
keywords = {2019, 2020},
pubstate = {published},
tppubtype = {techreport}
}
Vedika Agarwal; Rakshith Shetty; Mario Fritz
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Technical Report
2019.
@techreport{agarwal19arxiv,
title = {Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing},
author = {Vedika Agarwal and Rakshith Shetty and Mario Fritz
},
url = {https://arxiv.org/abs/1912.07538
https://arxiv.org/pdf/1912.07538.pdf},
year = {2019},
date = {2019-12-16},
keywords = {2019, 2020},
pubstate = {published},
tppubtype = {techreport}
}
