Workshop

High-Robustness, Low-Transferability Fingerprinting of Neural Networks
Siyue Wang

Poster

Thu 9:00

Domain-Robust Visual Imitation Learning with Mutual Information Constraints
Edoardo Cetin · Oya Celiktutan

Workshop

Byzantine-Robust and Privacy-Preserving Framework for FedML
Seyedeh Hanieh Hashemi

Poster

Tue 17:00

Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim · Minjung Kim · Dongyeon Woo · Gunhee Kim

Poster

Wed 17:00

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Shiyang Li · Semih Yavuz · Kazuma Hashimoto · Jia Li · Tong Niu · Nazneen Rajani · Xifeng Yan · Yingbo Zhou · Caiming Xiong

Poster

Wed 1:00

Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh

Workshop

Towards Causal Federated Learning - For enhanced robustness and privacy
Sreya Francis

Poster

Mon 17:00

Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu · Deyi Liu · Junlin Yang · Colin Raffel · Marc Niethammer

Poster

Thu 17:00

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Kaidi Cao · Yining Chen · Junwei Lu · Nikos Arechiga · Adrien Gaidon · Tengyu Ma

Poster

Mon 1:00

Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen · Qianxiao Li · Zheng Zhang

Workshop

Covariate Shift Adaptation for Adversarially Robust Classifier
Sudipan Saha

Poster

Wed 9:00

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu · Victor Wang · Bo Zhang · Shun Lu · Xiaolin Wei · Junchi Yan