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Rethinking Backdoor Attacks.

, , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 16216-16236. PMLR, (2023)

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Synthesizing Robust Adversarial Examples., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 284-293. PMLR, (2018)Implementation Matters in Deep RL: A Case Study on PPO and TRPO., , , , , , and . ICLR, OpenReview.net, (2020)Image Synthesis with a Single (Robust) Classifier., , , , , and . NeurIPS, page 1260-1271. (2019)Adversarial Examples Are Not Bugs, They Are Features., , , , , and . NeurIPS, page 125-136. (2019)Datamodels: Understanding Predictions with Data and Data with Predictions., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9525-9587. PMLR, (2022)What Makes a Good Fisherman? Linear Regression under Self-Selection Bias., , , and . STOC, page 1699-1712. ACM, (2023)Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection., , , , , and . CoRR, (2024)Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors., , and . ICLR (Poster), OpenReview.net, (2019)Learning Perceptually-Aligned Representations via Adversarial Robustness, , , , , and . (2019)3DB: A Framework for Debugging Computer Vision Models., , , , , , , , , and 2 other author(s). CoRR, (2021)