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A Critical Evaluation of Open-World Machine Learning

Jul 08, 2020
Liwei Song, Vikash Sehwag, Arjun Nitin Bhagoji, Prateek Mittal

* Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

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Universal Adversarial Attacks with Natural Triggers for Text Classification

May 01, 2020
Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan

* code is available at https://github.com/Hsuan-Tung/universal_attack_natural_trigger 

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Systematic Evaluation of Privacy Risks of Machine Learning Models

Mar 24, 2020
Liwei Song, Prateek Mittal

* code is available at https://github.com/inspire-group/membership-inference-evaluation 

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Towards Probabilistic Verification of Machine Unlearning

Mar 09, 2020
David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal

* code is available at https://github.com/inspire-group/unlearning-verification 

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Privacy Risks of Securing Machine Learning Models against Adversarial Examples

May 27, 2019
Liwei Song, Reza Shokri, Prateek Mittal


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Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples

May 05, 2019
Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal

* 18 pages, 5 figures, 9 tables 

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