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50 Results
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Poster
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Wed 12:00 |
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus |
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Poster
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Thu 12:00 |
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski · Johannes Gasteiger · Stephan Günnemann |
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Poster
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Tue 13:00 |
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz · Matthias Hein · Bernt Schiele |
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Poster
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Thu 6:00 |
On Breaking Deep Generative Model-based Defenses and Beyond Yanzhi Chen · Renjie Xie · Zhanxing Zhu |
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Poster
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Wed 8:00 |
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy · Sijia Liu · Gaoyuan Zhang · Cynthia Liu · Pin-Yu Chen · Shiyu Chang · Luca Daniel |
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Poster
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Wed 16:00 |
On Lp-norm Robustness of Ensemble Decision Stumps and Trees Yihan Wang · Huan Zhang · Hongge Chen · Duane Boning · Cho-Jui Hsieh |
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Poster
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Thu 13:00 |
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks Fabian Latorre · Paul Rolland · Shaul Nadav Hallak · Volkan Cevher |
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Poster
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Wed 11:00 |
Fairwashing explanations with off-manifold detergent Christopher Anders · Plamen Pasliev · Ann-Kathrin Dombrowski · Klaus-robert Mueller · Pan Kessel |
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Poster
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Tue 9:00 |
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu · Gagandeep Singh · Pavol Bielik · Martin Vechev |
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Poster
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Thu 15:00 |
Randomization matters How to defend against strong adversarial attacks Rafael Pinot · Raphael Ettedgui · Geovani Rizk · Yann Chevaleyre · Jamal Atif |
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Poster
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Thu 17:00 |
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks Yonggang Zhang · Ya Li · Tongliang Liu · Xinmei Tian |
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Poster
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Thu 6:00 |
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj · Yoram Bresler · Bo Li |