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2020

Journal Articles

 Person Recognition in Personal Photo Collections

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.

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Deep Gaze Pooling: Inferring and Visually Decoding Search Intents From Human Gaze Fixations

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.

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Inproceedings

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

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.

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GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

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.

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VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

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.

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Haar Wavelet based Block Autoregressive Flows for Trajectories

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.

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Long-Tailed Recognition Using Class-Balanced Experts

Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele

Long-Tailed Recognition Using Class-Balanced Experts Inproceedings

In: German Conference on Pattern Recognition (GCPR), 2020.

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Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations

Max Losch; Mario Fritz; Bernt Schiele

Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations Inproceedings

In: German Conference on Patter Recognition (GCPR), 2020.

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Towards Automated Testing and Robustification by Semantic Adversarial Data Generation

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.

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Inclusive GAN: Improving Data and Minority Coverage in Generative Models

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.

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Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

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.

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Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

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.

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Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

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.

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Normalizing Flows with Multi-scale Autoregressive Priors

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.

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Automatically Detecting Bystanders in Photos to Reduce Privacy Risks

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.

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Technical Reports

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning

Yang He; Maximilian Zenk; Mario Fritz

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning Technical Report

arXiv:2012.08241 , 2020.

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Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Ning Yu; Vladislav Skripniuk; Dingfan Chen; Larry Davis; Mario Fritz

Responsible Disclosure of Generative Models Using Scalable Fingerprinting Technical Report

arXiv:2012.08726 , 2020.

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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 Technical Report

arXiv:2011.14107 , 2020.

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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 Technical Report

arXiv:2009.03015 [cs.CR], 2020.

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Black-Box Watermarking for Generative Adversarial Networks

Vladislav Skripniuk; Ning Yu; Sahar Abdelnabi; Mario Fritz

Black-Box Watermarking for Generative Adversarial Networks Technical Report

arXiv:2007.08457, 2020.

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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 Technical Report

arXiv:2006.10720, 2020.

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GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Technical Report

arXiv:2006.08265 , 2020.

Links | BibTeX | Tags: 2020

 Inclusive GAN: Improving Data and Minority Coverage in Generative Models

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.

Links | BibTeX | Tags: 2020

Long-Tailed Recognition Using Class-Balanced Experts

Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele

Long-Tailed Recognition Using Class-Balanced Experts Technical Report

arXiv:2004.03706 , 2020.

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Workshops

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Workshop

NeurIPS Workshop on Computer-Assisted Programming, 2020.

Links | BibTeX | Tags: 2019, 2020

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

NeurIPS Workshop on Computer-Assisted Programming, 2020.

Links | BibTeX | Tags: 2020

Haar Wavelet based Block Autoregressive Flows for Trajectories

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.

Links | BibTeX | Tags: 2020

Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction

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.

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Synthetic Convolutional Features for Improved Semantic Segmentation

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.

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2019

Technical Reports

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

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.

Links | BibTeX | Tags: 2019, 2020

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Vedika Agarwal; Rakshith Shetty; Mario Fritz

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Technical Report

2019.

Links | BibTeX | Tags: 2019, 2020