adversarial risk

Consistent Adversarially Robust Linear Classification: Non-Parametric Setting ICML 2024 Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024 A law of adversarial risk, interpolation, and label noise ICLR 2023 On the Role of Randomization in Adversarially Robust Classification NeurIPS 2023 Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023 A Manifold View of Adversarial Risk AISTATS 2022 On the Generalization Analysis of Adversarial Learning ICML 2022 Characterizing the Evasion Attackability of Multi-label Classifiers AAAI 2021 Distributionally Robust Imitation Learning NeurIPS 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 On the Generalization Properties of Adversarial Training AISTATS 2021 Statistically robust neural network classification UAI 2021 The Many Faces of Adversarial Risk NeurIPS 2021 Adversarial Risk Bounds through Sparsity based Compression AISTATS 2020 Adversarial Risk via Optimal Transport and Optimal Couplings ICML 2020 Adversarial Training for Commonsense Inference ACL 2020 Revisiting Adversarial Risk AISTATS 2019 Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NeurIPS 2018