Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Liwei Song

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Privacy Risks of Securing Machine Learning Models against Adversarial Examples


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions