Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

27 Results

<<   <   Page 2 of 3   >   >>
Poster
Thu 16:30 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
Yun-Hsuan Lien · Ping-Chun Hsieh · Yu-Shuen Wang
Poster
Wed 14:00 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
SIJIA CHEN · Wei-Wei Tu · Peng Zhao · Lijun Zhang
Workshop
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Poster
Tue 17:00 The multimarginal optimal transport formulation of adversarial multiclass classification
Nicolas Garcia Trillos · Matt Jacobs · Jakwang Kim
Workshop
Shrink & Cert: Bi-level Optimization for Certified Robustness
Kavya Gupta · Sagar Verma
Poster
Tue 14:00 Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback
Tal Lancewicki · Aviv Rosenberg · Dmitry Sotnikov
Poster
Thu 16:30 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah GHAMIZI · Jingfeng ZHANG · Maxime Cordy · Mike Papadakis · Masashi Sugiyama · YVES LE TRAON
Poster
Wed 14:00 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
Orin Levy · Alon Cohen · Asaf Cassel · Yishay Mansour
Workshop
Black Box Adversarial Prompting for Foundation Models
Workshop
Fri 13:00 Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alex Robey · Fabian Latorre · George J. Pappas · Hamed Hassani · Volkan Cevher
Poster
Wed 14:00 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control
Xujie Song · Jingliang Duan · Wenxuan Wang · Shengbo Li · Chen Chen · Bo Cheng · Bo Zhang · Junqing Wei · Xiaoming (Simon) Wang
Workshop
Characterizing the Optimal 01 Loss for Multi-class Classification with a Test-time Attacker
Sophie Dai · Wenxin Ding · Arjun Nitin Bhagoji · Daniel Cullina · Ben Zhao · Heather Zheng · Prateek Mittal