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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

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

Links | BibTeX | Tags: 2019, 2020

Inproceedings

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

Ahmed Salem; Apratim Bhattacharya; Michael Backes; Mario Fritz; Yang Zhang

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

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

IEEE Conference on Computer Vision and Pattern Recognition, 2020.

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Normalizing Flows with Multi-scale Autoregressive Priors

Shweta Mahajan; Apratim Bhattacharyya; Mario Fritz; Stefan Roth; Bernt Schiele

Normalizing Flows with Multi-scale Autoregressive Priors Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition, 2020.

BibTeX | Tags: 2020

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

IEEE Symposium on Security and Privacy (S&P), 2020.

BibTeX | Tags: 2020

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Inproceedings

International Conference on Representation Learning (ICLR), 2020.

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2019

Technical Reports

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.

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