80 Results

Workshop		Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns Xinyu Liang · Hao Wang
Workshop		Deep Reinforcement Learning Policies Learn Shared Adversarial Directions Across MDPs Ezgi Korkmaz
Workshop		Adversarial Robustness of Deep Inverse Reinforcement Learning Ezgi Korkmaz
Poster	Wed 9:00	Provable Defense against Backdoor Policies in Reinforcement Learning Shubham Bharti · Xuezhou Zhang · Adish Singla · Jerry Zhu
Workshop		Sample-efficient Adversarial Imitation Learning Dahuin Jung · Hyungyu Lee · Sungroh Yoon
Workshop		A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations Qisai Liu · Xian Yeow Lee · Soumik Sarkar
Workshop		Robust Option Learning for Adversarial Generalization Kishor Jothimurugan · Steve Hsu · Osbert Bastani · Rajeev Alur
Workshop		Rethinking Learning Dynamics in RL using Adversarial Networks Ramnath Kumar · Tristan Deleu · Yoshua Bengio
Affinity Workshop		Re-QGAN: an optimized adversarial quantum circuit learning framework Anais Sandra Nguemto Guiawa
Workshop		Robust Representation Learning for Group Shifts and Adversarial Examples Ming-Chang Chiu · Xuezhe Ma
Poster	Wed 9:00	Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework Henger Li · Xiaolin Sun · Zizhan Zheng
Poster	Wed 9:00	One-shot Neural Backdoor Erasing via Adversarial Weight Masking Shuwen Chai · Jinghui Chen