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2021

Journal Articles

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Max Losch; Mario Fritz; Bernt Schiele

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations Journal Article

In: International Journal of Computer Vision (IJCV), 2021.

Links | BibTeX | Tags: 2021

Privacy considerations for sharing genomics data

Marie Oestreich; Dingfan Chen; Joachim L. Schultze; Mario Fritz; Matthias Becker

Privacy considerations for sharing genomics data Journal Article

In: EXCLI Journal, 2021.

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Inproceedings

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Ning Yu; Vladislav Skripniuk; Sahar Abdelnabi; Mario Fritz

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Inproceedings

In: International Conference on Computer Vision (ICCV), 2021.

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Dual Contrastive Loss and Attention for GANs

Ning Yu; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis; Mario Fritz

Dual Contrastive Loss and Attention for GANs Inproceedings

In: International Conference on Computer Vision (ICCV), 2021.

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Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Yang He; Ning Yu; Margret Keuper; Mario Fritz

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Inproceedings

In: 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.

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Convolutional Dynamic Alignment Networks for Interpretable Classifications

Moritz Bohle, Mario Fritz, Bernt Schiele

Convolutional Dynamic Alignment Networks for Interpretable Classifications Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

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Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Apratim Bhattacharyya; Daniel Olmeda Reino; Mario Fritz; Bernt Schiele

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

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Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

Hui-Po Wang; Ning Yu; Mario Fritz

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

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Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

Sahar Abdelnabi; Mario Fritz

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Inproceedings

In: IEEE Symposium on Security and Privacy (S&P), 2021.

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Future Moment Assessment for Action Query

Qiuhong Ke; Mario Fritz; Bernt Schiele

Future Moment Assessment for Action Query Inproceedings

In: IEEE Winter Conference on Applications of Computer Vision (WACV ’20), 2021.

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Technical Reports

Backdoor Attacks on Network Certification via Data Poisoning

Tobias Lorenz; Marta Kwiatkowska; Mario Fritz

Backdoor Attacks on Network Certification via Data Poisoning Technical Report

arXiv:2108.11299, 2021.

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ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Yugeng Liu; Rui Wen; Xinlei He; Ahmed Salem; Zhikun Zhang; Michael Backes; Emiliano De Cristofaro; Mario Fritz; Yang Zhang

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Technical Report

arXiv:2102.02551, 2021.

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Workshops

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models

Sahar Abdelnabi; Mario Fritz

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Workshop

Moving Target Defense Workshop in conjuncture with CCS, 2021.

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SampleFix: Learning to Generate Functionally Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Cristian-Alexandru Staicu; Mario Fritz

SampleFix: Learning to Generate Functionally Diverse Fixes Workshop

1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD, Springer, 2021.

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IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Workshop

1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD, Springer, 2021.

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InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Workshop

CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.

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MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

Lucjan Hanzlik; Yang Zhang; Kathrin Grosse; Ahmed Salem; Max Augustin; Michael Backes; Mario Fritz

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Workshop

CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.

Links | BibTeX | Tags: 2021