ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation

22 October 2022

Papers citing "ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation"

6 / 6 papers shown

Title
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks Po-Nien Kung Fan Yin Di Wu Kai-Wei Chang Nanyun Peng 65 39 0 01 Nov 2023
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 17 3 0 18 May 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 221 436 0 25 Sep 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 175 290 0 03 Sep 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 243 914 0 21 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015