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Poster
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Wed 11:00
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ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
Huayang Huang · Yu Wu · Qian Wang
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Workshop
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Sat 12:00
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Optimizing Adversarial Samples for Tighter Privacy Auditing in Final Model-Only Settings
Sangyeon Yoon · Wonje Jeung · Albert No
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Poster
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Wed 11:00
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Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha · Rahul Vaze
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Poster
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Wed 16:30
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Online Composite Optimization Between Stochastic and Adversarial Environments
Yibo Wang · SIJIA CHEN · Wei Jiang · Wenhao Yang · Yuanyu Wan · Lijun Zhang
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Workshop
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Dueling in the Dark: An Efficient and Optimal Mirror Descent Approach for Online Optimization with Adversarial Preferences
Aadirupa Saha · Barry-John Theobald · Yonathan Efroni
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Poster
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Thu 16:30
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Generative Adversarial Model-Based Optimization via Source Critic Regularization
Michael Yao · Yimeng Zeng · Hamsa Bastani · Jacob Gardner · James Gee · Osbert Bastani
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Workshop
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SkewAct: Red Teaming Large Language Models via Activation-Skewed Adversarial Prompt Optimization
Hanxi Guo · Siyuan Cheng · Guanhong Tao · Guangyu Shen · Zhuo Zhang · Shengwei An · Kaiyuan Zhang · Xiangyu Zhang
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Poster
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Wed 11:00
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No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation
Per Kristian Lehre · Shishen Lin
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Workshop
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Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li · Yuanzhi Li
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Poster
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Fri 16:30
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Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
Long-Fei Li · Peng Zhao · Zhi-Hua Zhou
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Workshop
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Rethinking LLM Memorization through the Lens of Adversarial Compression
Avi Schwarzschild · Zhili Feng · Pratyush Maini · Zachary Lipton · J. Zico Kolter
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Workshop
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Sun 16:30
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Contributed Talk 4: Rethinking LLM Memorization through the Lens of Adversarial Compression
Avi Schwarzschild · Zhili Feng · Pratyush Maini · Zachary Lipton · J. Zico Kolter
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