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Spotlight
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Mon 20:38
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Information Laundering for Model Privacy
Xinran Wang · Yu Xiang · Jun Gao · Jie Ding
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Poster
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Tue 17:00
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Information Laundering for Model Privacy
Xinran Wang · Yu Xiang · Jun Gao · Jie Ding
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Workshop
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Boosting black-box adversarial attack via exploiting loss smoothness
Hoang Tran
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Workshop
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Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
Dequan Wang · David Wagner · Trevor Darrell
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Workshop
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PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
Chong Xiang
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Poster
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Mon 17:00
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Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang · Hongge Chen · Duane S Boning · Cho-Jui Hsieh
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Spotlight
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Thu 13:30
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A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Sanghyun Hong · Yigitcan Kaya · Ionut-Vlad Modoranu · Tudor Dumitras
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Poster
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Wed 1:00
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A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Sanghyun Hong · Yigitcan Kaya · Ionut-Vlad Modoranu · Tudor Dumitras
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Workshop
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Mind the box: l1-APGD for sparse adversarial attacks on image classifiers
francesco croce
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Workshop
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Detecting Adversarial Attacks through Neural Activations
Graham Annett
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Poster
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Tue 1:00
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Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
Ziang Yan · Yiwen Guo · Jian Liang · Changshui Zhang
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Workshop
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Fri 9:16
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Kendra Albert - Panda v. Gibbon: Legal Liability for Adversarial ML Attacks
Kendra Albert
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