|
Workshop
|
|
Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns
Xinyu Liang · Hao Wang
|
|
|
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
|
|
Deep Reinforcement Learning Policies Learn Shared Adversarial Directions Across MDPs
Ezgi Korkmaz
|
|
|
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
|
|
|
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
|
|
|
Workshop
|
|
Rethinking Learning Dynamics in RL using Adversarial Networks
Ramnath Kumar · Tristan Deleu · Yoshua Bengio
|
|
|
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
|
|
