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Workshop
Fri 15:15 Robust Inverse Reinforcement Learning Through Bayesian Theory of Mind
Ran Wei · Siliang Zeng · Chenliang Li · Alfredo Garcia · Anthony McDonald · Mingyi Hong
Poster
Wed 14:00 COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
Anlan Yu · Ning Lyu · Jieming Yin · Zhiyuan Yan · Wujie Wen
Workshop
Learning pipeline-invariant representation for robust brain phenotype prediction
Xinhui Li · Alex Fedorov · Mrinal Mathur · Anees Abrol · Gregory Kiar · Sergey Plis · Vince Calhoun
Poster
Tue 14:00 Robust Collaborative Learning with Linear Gradient Overhead
Sadegh Farhadkhani · Rachid Guerraoui · Nirupam Gupta · Lê-Nguyên Hoang · Rafael Pinot · John Stephan
Poster
Thu 16:30 Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning
Junghoon Kim · Taejoon Kim · David Love · Christopher G. Brinton
Workshop
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric
Sara Ghazanfari · Siddharth Garg · Prashanth Krishnamurthy · Farshad Khorrami · Alexandre Araujo
Poster
Thu 16:30 Model-Free Robust Average-Reward Reinforcement Learning
Yue Wang · Alvaro Velasquez · George Atia · Ashley Prater-Bennette · Shaofeng Zou
Poster
Tue 14:00 Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee · Dongmin Hyun · Gyoung S. Na · Sungwon Kim · Junseok Lee · Chanyoung Park
Workshop
A First Order Meta Stackelberg Method for Robust Federated Learning
Yunian Pan · Tao Li · Henger Li · Tianyi Xu · Quanyan Zhu · Zizhan Zheng
Workshop
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
Francesco Campi · Lukas Gosch · Tom Wollschläger · Yan Scholten · Stephan Günnemann
Workshop
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang · Yanchao Sun · Ruijie Zheng · Xiangyu Liu · Tuomas Sandholm · Furong Huang · Stephen Mcaleer
Workshop
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Sofiane ENNADIR · Yassine Abbahaddou · Michalis Vazirgiannis · Henrik Boström