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Poster
Wed 17:00 Optimal Shrinkage for Distributed Second-Order Optimization
Fangzhao Zhang · Mert Pilanci
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
RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
Hossein Mirzaei · Mohammad Jafari · Hamid Reza Dehbashi · Ali Ansari · Sepehr Ghobadi · Masoud Hadi · Arshia Soltani Moakhar · Mohammad Azizmalayeri · Mahdieh Soleymani Baghshah · Mohammad H Rohban
Workshop
Robust Deep Learning via Layerwise Tilted Exponentials
Bhagyashree Puranik · Ahmad Beirami · Yao Qin · Upamanyu Madhow
Workshop
Towards Out-of-Distribution Adversarial Robustness
Adam Ibrahim · Charles Guille-Escuret · Ioannis Mitliagkas · Irina Rish · David Krueger · Pouya Bashivan
Workshop
CertViT: Certified Robustness of Pre-Trained Vision Transformers
Poster
Tue 17:00 Bilevel Optimization with Coupled Decision-Dependent Distributions
Songtao Lu
Poster
Tue 17:00 Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
Yijun Dong · Yuege Xie · Rachel Ward
Workshop
CertViT: Certified Robustness of Pre-Trained Vision Transformers
Kavya Gupta · Sagar Verma
Poster
Tue 14:00 Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
Sicheng Zhu · Bang An · Furong Huang · Sanghyun Hong
Workshop
Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium
Pavel Dvurechenskii · Jia-Jie Zhu
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