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Poster
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Wed 5:00
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Second-Order Provable Defenses against Adversarial Attacks
Sahil Singla · Soheil Feizi
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Poster
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Tue 7:00
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Towards Understanding the Dynamics of the First-Order Adversaries
Zhun Deng · Hangfeng He · Jiaoyang Huang · Weijie Su
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Poster
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Tue 9:00
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Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu · Xiao Zhang · David Evans
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Poster
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Thu 6:00
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Interpreting Robust Optimization via Adversarial Influence Functions
Zhun Deng · Cynthia Dwork · Jialiang Wang · Linjun Zhang
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Poster
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Tue 18:00
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Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang · Xilie Xu · Bo Han · Gang Niu · Lizhen Cui · Masashi Sugiyama · Mohan Kankanhalli
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Poster
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Thu 12:00
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Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce · Matthias Hein
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Poster
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Wed 8:00
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Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
Florian Tramer · Jens Behrmann · Nicholas Carlini · Nicolas Papernot · Joern-Henrik Jacobsen
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Poster
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Wed 12:00
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Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Hai Phan · My T. Thai · Han Hu · Ruoming Jin · Tong Sun · Dejing Dou
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Poster
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Wed 16:00
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Adversarial Robustness via Runtime Masking and Cleansing
Yi-Hsuan Wu · Chia-Hung Yuan · Shan-Hung (Brandon) Wu
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Poster
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Wed 9:00
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Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
Mingjie Li · Lingshen He · Zhouchen Lin
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Poster
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Thu 6:00
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Concise Explanations of Neural Networks using Adversarial Training
Prasad Chalasani · Jiefeng Chen · Amrita Roy Chowdhury · Xi Wu · Somesh Jha
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Poster
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Wed 14:00
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Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce · Matthias Hein
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