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12 Results
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Poster
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Tue 4:30 |
Benign Overfitting in Adversarial Training of Neural Networks Yunjuan Wang · Kaibo Zhang · Raman Arora |
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Poster
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Wed 2:30 |
Towards Efficient Training and Evaluation of Robust Models against Bounded Adversarial Perturbations Xuyang Zhong · Yixiao HUANG · Chen Liu |
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Workshop
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Adversarial Training with Synthesized Data: A Path to Robust and Generalizable Neural Networks Reza Bayat · Irina Rish |
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Poster
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Wed 2:30 |
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training Jiacheng Zhang · Feng Liu · Dawei Zhou · Jingfeng ZHANG · Tongliang Liu |
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Poster
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Tue 2:30 |
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao · Jiawei Zhang · Zhi-Quan Luo · Asuman Ozdaglar |
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Poster
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Tue 2:30 |
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang · Hangzhou He · Jingyu Zhu · Huanran Chen · Yifei Wang · Zeming Wei |
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Workshop
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ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli · Priyam Dey · Venkatesh Babu Radhakrishnan |
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Workshop
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Exploring Scaling Trends in LLM Robustness Nikolaus Howe · Michał Zając · Ian McKenzie · Oskar Hollinsworth · Pierre-Luc Bacon · Adam Gleave |
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Workshop
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Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-based Selection Somrita Ghosh · Yuelin Xu · Xiao Zhang |
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Poster
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Thu 4:30 |
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee · Kanghyun Choi · Dain Kwon · SunJong Park · Mayoore Jaiswal · Noseong Park · Jonghyun Choi · Jinho Lee |
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Workshop
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Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Björn Nieth · Thomas Altstidl · Leo Schwinn · Bjoern Eskofier |
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Workshop
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WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models Liwei Jiang · Kavel Rao · Seungju Han · Allyson Ettinger · Faeze Brahman · Sachin Kumar · Niloofar Mireshghallah · Ximing Lu · Maarten Sap · Nouha Dziri · Yejin Choi |