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Adversarially Robust Representations with Smooth Encoders., , , and . ICLR, OpenReview.net, (2020)A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\, , , , , , , , and . International Conference on Learning Representations, (2020)Adversarially Robust Representations with Smooth Encoders, , , and . International Conference on Learning Representations, (2020)Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control., , , , , , and . ICLR, OpenReview.net, (2020)Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models., , , , , , and . ICLR, OpenReview.net, (2024)(Certified!!) Adversarial Robustness for Free!, , , , , and . ICLR, OpenReview.net, (2023)Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation., , , , , , , , , and 8 other author(s). CoRR, (2024)Efficient Error Certification for Physics-Informed Neural Networks., , , , , and . ICML, OpenReview.net, (2024)Stealing part of a production language model., , , , , , , , , and 3 other author(s). ICML, OpenReview.net, (2024)Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation., , , , , and . ICML, OpenReview.net, (2024)