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Workshop
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Incorporating Label Uncertainty in Intrinsic Robustness Measures
Xiao Zhang
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Workshop
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Towards Causal Federated Learning - For enhanced robustness and privacy
Sreya Francis
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Workshop
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Covariate Shift Adaptation for Adversarially Robust Classifier
Sudipan Saha
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Workshop
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SHIFT INVARIANCE CAN REDUCE ADVERSARIAL ROBUSTNESS
Songwei Ge
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Workshop
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Doing More with Less: Improving Robustness using Generated Data
Sven Gowal
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Workshop
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Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi
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Workshop
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Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness
Linxi Jiang · James Bailey
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Workshop
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Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
Zuxin Liu
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Workshop
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Non-Singular Adversarial Robustness of Neural Networks
Chia-Yi Hsu · Pin-Yu Chen
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Workshop
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What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors
Jonas Geiping · Liam H Fowl · Micah Goldblum · Michael Moeller · Tom Goldstein
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Workshop
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Robustness from Perception
Saeed Mahloujifar · Chong Xiang · Vikash Sehwag · Prateek Mittal
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Workshop
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Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li
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