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Workshop
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Sample-efficient Adversarial Imitation Learning
Dahuin Jung · Hyungyu Lee · Sungroh Yoon
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Poster
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Pre-trained Adversarial Perturbations
Yuanhao Ban · Yinpeng Dong
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Poster
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Tue 9:00
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How Sampling Impacts the Robustness of Stochastic Neural Networks
Sina Däubener · Asja Fischer
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Poster
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Thu 14:00
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Adversarial Task Up-sampling for Meta-learning
Yichen WU · Long-Kai Huang · Ying Wei
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Poster
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Tue 14:00
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Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser · Steve Hanneke · Nati Srebro
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Poster
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Tue 9:00
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Retrospective Adversarial Replay for Continual Learning
Lilly Kumari · Shengjie Wang · Tianyi Zhou · Jeff A Bilmes
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Workshop
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An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu · Haoyu Yang · David Pan · Brucek Khailany · Mark Ren
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Poster
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Wed 9:00
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Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness
Avrim Blum · Omar Montasser · Greg Shakhnarovich · Hongyang Zhang
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Poster
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Thu 9:00
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A Characterization of Semi-Supervised Adversarially Robust PAC Learnability
Idan Attias · Steve Hanneke · Yishay Mansour
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Workshop
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Tabular Data Generation: Can We Fool XGBoost ?
EL Hacen Zein · Tanguy Urvoy
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Poster
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Tue 14:00
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Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Gen Li · Yuejie Chi · Yuting Wei · Yuxin Chen
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