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, privacy, AI:
Recent work on DeepFake detecting, misinformation, attribution,and responsible disclosure:
- ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
- ArXiv’21: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
- 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:
- 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
- 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: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
- ArXiv’21: Backdoor Attacks on Network Certification via Data Poisoning
- ArXiv’21: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
- ArXiv’20: CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning
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, 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}
}
