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Poster
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Thu 13:30
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Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
Junyi Zhu · Ruicong Yao · Matthew B Blaschko
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Workshop
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Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models
Francesco Croce · Naman Singh · Matthias Hein
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Workshop
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Feature Partition Aggregation: A Fast Certified Defense Against a Union of ℓ0 Attacks
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Workshop
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When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks?
Fnu Suya · Xiao Zhang · Yuan Tian · David Evans
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Workshop
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Physics-oriented adversarial attacks on SAR image target recognition
Jiahao Cui · wang Guo · Run Shao · tiandong Shi · Haifeng Li
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Poster
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Tue 17:00
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Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan · Fei Kong · Shiqi Wang · Xiaoshuang Shi · Kaidi Xu
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Workshop
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Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Chien Cheng Chyou · Hung-Ting Su · Winston Hsu
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Workshop
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Evading Black-box Classifiers Without Breaking Eggs
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Poster
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Thu 13:30
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Run-off Election: Improved Provable Defense against Data Poisoning Attacks
Keivan Rezaei · Kiarash Banihashem · Atoosa Malemir Chegini · Soheil Feizi
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Workshop
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Why do universal adversarial attacks work on large language models?: Geometry might be the answer
Varshini Subhash · Anna Bialas · Siddharth Swaroop · Weiwei Pan · Finale Doshi-Velez
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Workshop
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Creating a Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks
Hyunmin Lee · SeungYoung Oh · JinHyun Han · Hyunggu Jung
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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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