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Workshop
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Mathematical Theory of Adversarial Deep Learning
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Workshop
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Mathematical Theory of Adversarial Deep Learning
Xiao-Shan Gao · Lijia Yu · Shuang Liu
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Workshop
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Nonlinear Wasserstein Distributionally Robust Optimal Control
Zhengang Zhong · Jia-Jie Zhu
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Workshop
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Characterizing the Optimal 0−10−1 Loss for Multi-class Classification with a Test-time Attacker
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Workshop
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Multiscale Flow for Robust and Optimal Cosmological Analysis
Biwei Dai · Uros Seljak
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Workshop
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Shrink & Cert: Bi-level Optimization for Certified Robustness
Kavya Gupta · Sagar Verma
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Workshop
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Shrink & Cert: Bi-level Optimization for Certified Robustness
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Poster
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Wed 14:00
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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
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Workshop
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Proximal Compositional Optimization for Distributionally Robust Learning
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Poster
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Tue 17:00
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Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
Yijun Dong · Yuege Xie · Rachel Ward
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Workshop
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CertViT: Certified Robustness of Pre-Trained Vision Transformers
Kavya Gupta · Sagar Verma
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Workshop
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CertViT: Certified Robustness of Pre-Trained Vision Transformers
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