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5 Results
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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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Workshop
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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch · Mahalakshmi Sabanayagam · Debarghya Ghoshdastidar · Stephan Günnemann |
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Poster
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Fri 16:30 |
Score-based generative models are provably robust: an uncertainty quantification perspective Nikiforos Mimikos-Stamatopoulos · Benjamin Zhang · Markos Katsoulakis |
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Poster
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Thu 16:30 |
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction Xingyu Xu · Yuejie Chi |
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Poster
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Fri 11:00 |
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees Xun Xian · Ganghua Wang · Xuan Bi · Jayanth Srinivasa · Ashish Kundu · Mingyi Hong · Jie Ding |