Quantifying Robustness to Adversarial Word Substitutions

11 January 2022

Papers citing "Quantifying Robustness to Adversarial Word Substitutions"

7 / 7 papers shown

Title
Towards Efficient Verification of Quantized Neural Networks Pei Huang Haoze Wu Yuting Yang Ieva Daukantas Min Wu Yedi Zhang Clark W. Barrett MQ 38 12 0 20 Dec 2023
ε-weakened Robustness of Deep Neural Networks Pei Huang Yuting Yang Minghao Liu Fuqi Jia Feifei Ma Jian Zhang AAML 27 18 0 29 Oct 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 188 291 0 03 Sep 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 194 274 0 03 Dec 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 915 0 21 Apr 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,838 0 03 Feb 2017