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Scaling in Depth: Unlocking Robustness Certification on ImageNet


Jan 29, 2023
Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson

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Learning Modulo Theories


Jan 26, 2023
Matt Fredrikson, Kaiji Lu, Saranya Vijayakumar, Somesh Jha, Vijay Ganesh, Zifan Wang

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Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization


Nov 22, 2022
Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut

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A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games


Sep 06, 2022
Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl H. Johansson

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On the Perils of Cascading Robust Classifiers


Jun 01, 2022
Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina Pasareanu, Matt Fredrikson

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Faithful Explanations for Deep Graph Models


May 24, 2022
Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta

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Risk-Averse No-Regret Learning in Online Convex Games


Mar 16, 2022
Zifan Wang, Yi Shen, Michael M. Zavlanos

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Consistent Counterfactuals for Deep Models


Oct 06, 2021
Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta

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Boundary Attributions Provide Normal (Vector) Explanations


Mar 23, 2021
Zifan Wang, Matt Fredrikson, Anupam Datta

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Globally-Robust Neural Networks


Feb 16, 2021
Klas Leino, Zifan Wang, Matt Fredrikson

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