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A Framework for robustness Certification of Smoothed Classifiers using F-Divergences.

, , , , , , , , и . ICLR, OpenReview.net, (2020)

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Mahalakshmi Krishnamurthy

Adarsh Krishnamurthy

Arvind Krishnamurthy

Vittala Naranappa Krishnamurthy

Marthe Djuikom

Nachhaltige Energie für ländliche Entwicklung in dem Sub-Sahara Afrika: interdisziplinäre Herangehensweise und organisatorische Herausforderung. Uni Kassel, (2008)
 

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Adversarially Robust Representations with Smooth Encoders, , , и . International Conference on Learning Representations, (2020)A \FRAMEWORK\ \FOR\ \ROBUSTNESS\ \CERTIFICATION\ ØF\ \SMOOTHED\ \CLASSIFIERS\ \USING\ F-\DIVERGENCES\, , , , , , , , и . International Conference on Learning Representations, (2020)Adversarially Robust Representations with Smooth Encoders., , , и . ICLR, OpenReview.net, (2020)Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control., , , , , , и . ICLR, OpenReview.net, (2020)Stealing Part of a Production Language Model., , , , , , , , , и 3 other автор(ы). CoRR, (2024)(Certified!!) Adversarial Robustness for Free!, , , , , и . ICLR, OpenReview.net, (2023)Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play., , , , , , и . CoRR, (2023)Efficient Neural Network Verification with Exactness Characterization., , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 497-507. AUAI Press, (2019)The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver., , , , , , и . KDD, стр. 1285-1294. ACM, (2020)Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures., , , , , , , , и . ICLR (Poster), OpenReview.net, (2019)