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Workshop
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Adversarial Attacks on Transformers-Based Malware Detectors
Yash Jakhotiya · Heramb Patil · Jugal Rawlani
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Poster
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Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan · Qilong Zhang · Lianli Gao · Yaya Cheng · Jingkuan Song
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Workshop
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A Novel Model-Based Attribute Inference Attack in Federated Learning
ilias driouich · CHUAN XU · Giovanni Neglia · Frederic Giroire · Eoin Thomas
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Poster
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Wed 9:00
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Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
Henger Li · Xiaolin Sun · Zizhan Zheng
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Poster
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Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Yucheng Shi · Yahong Han · Yu-an Tan · Xiaohui Kuang
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Workshop
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Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning
Junwu Xiong
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Poster
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Tue 9:00
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Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen · Zhehao Huang · Qinghua Tao · Yingwen Wu · Cihang Xie · Xiaolin Huang
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Workshop
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Detecting Adversarial Attacks On Breast Cancer Diagnostic Systems Using Attribution-based Confidence Metric
Steven Fernandes · Poonam Sharma · Colleen Westerhaus
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Poster
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Tue 14:00
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End-to-end Stochastic Optimization with Energy-based Model
Lingkai Kong · Jiaming Cui · Yuchen Zhuang · Rui Feng · B. Aditya Prakash · Chao Zhang
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Poster
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Tue 14:00
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Data-Driven Offline Decision-Making via Invariant Representation Learning
Han Qi · Yi Su · Aviral Kumar · Sergey Levine
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