T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification

7 March 2021

Papers citing "T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification"

5 / 55 papers shown

Title
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models Wenkai Yang Yankai Lin Peng Li Jie Zhou Xu Sun SILM AAML 24 102 0 15 Oct 2021
A Survey on Text Classification: From Shallow to Deep Learning Qian Li Hao Peng Jianxin Li Congyin Xia Renyu Yang Lichao Sun Philip S. Yu Lifang He VLM 20 328 0 02 Aug 2020
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 134 186 0 02 Dec 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014