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23 Results
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Poster
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Tue 14:00 |
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback Tal Lancewicki · Aviv Rosenberg · Dmitry Sotnikov |
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Workshop
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Mathematical Theory of Adversarial Deep Learning |
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Poster
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Thu 16:30 |
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah GHAMIZI · Jingfeng ZHANG · Maxime Cordy · Mike Papadakis · Masashi Sugiyama · YVES LE TRAON |
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Poster
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Wed 14:00 |
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation Orin Levy · Alon Cohen · Asaf Cassel · Yishay Mansour |
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Workshop
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Black Box Adversarial Prompting for Foundation Models |
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Workshop
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Fri 13:00 |
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alex Robey · Fabian Latorre · George J. Pappas · Hamed Hassani · Volkan Cevher |
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Workshop
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Characterizing the Optimal Loss for Multi-class Classification with a Test-time Attacker Sophie Dai · Wenxin Ding · Arjun Nitin Bhagoji · Daniel Cullina · Ben Zhao · Heather Zheng · Prateek Mittal |
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Workshop
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Mathematical Theory of Adversarial Deep Learning Xiao-Shan Gao · Lijia Yu · Shuang Liu |
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles Chejian Xu · Ding Zhao · Alberto Sngiovanni Vincentelli · Bo Li |
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Workshop
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Black Box Adversarial Prompting for Foundation Models Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner |
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Workshop
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Evaluating the diversity and utility of materials proposed by generative models Alexander New · Michael Pekala · Elizabeth Pogue · Nam Q. Le · Janna Domenico · Christine Piatko · Christopher Stiles |