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Poster
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Wed 11:00
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NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Baiqi Li · Zhiqiu Lin · Wenxuan Peng · Jean de Dieu Nyandwi · Daniel Jiang · Zixian Ma · Simran Khanuja · Ranjay Krishna · Graham Neubig · Deva Ramanan
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Poster
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Thu 16:30
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TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
Thibault Simonetto · Salah GHAMIZI · Maxime Cordy
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Affinity Event
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Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques
Rishika Bhagwatkar · Shravan Nayak · Pouya Bashivan · Irina Rish
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Poster
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Thu 11:00
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TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models
Zhen Chen · Yi Zhang · Fu Wang · Xingyu Zhao · Xiaowei Huang · Wenjie Ruan
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Poster
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Wed 16:30
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Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
Tianyuan Jin · Kyoungseok Jang · Nicolò Cesa-Bianchi
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Poster
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Wed 16:30
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Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
Kaike Zhang · Qi Cao · Yunfan Wu · Fei Sun · Huawei Shen · Xueqi Cheng
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Poster
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Wed 11:00
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Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai · Hsiang-Chun Wang · Ping-Chun Hsieh · Frank Wang · Min-Hung Chen · Shao-Hua Sun
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Poster
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Wed 16:30
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Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning
Di Ming · Peng Ren · Yunlong Wang · Xin Feng
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Poster
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Thu 16:30
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Fight Back Against Jailbreaking via Prompt Adversarial Tuning
Yichuan Mo · Yuji Wang · Zeming Wei · Yisen Wang
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Poster
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Thu 11:00
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Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
Cong Wan · Yuhang He · Xiang Song · Yihong Gong
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Poster
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Wed 16:30
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Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters
David Woodruff · Samson Zhou
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Affinity Event
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Implement and evaluate adversarial attack and defense in Deep Learning using MNIST Dataset
Henriette Flore KENNE
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