A Survey of Adversarial Defences and Robustness in NLP

A Survey of Adversarial Defences and Robustness in NLP

12 March 2022

Shreyansh Goyal

Sumanth Doddapaneni

Mitesh M.Khapra

Papers citing "A Survey of Adversarial Defences and Robustness in NLP"

15 / 15 papers shown

Title
Adversarial Text Purification: A Large Language Model Approach for Defense Raha Moraffah Shubh Khandelwal Amrita Bhattacharjee Huan Liu DeLMO AAML 22 5 0 05 Feb 2024
Adversarial training for tabular data with attack propagation Tiago Leon Melo Joao Bravo Marco O. P. Sampaio Paolo Romano Hugo Ferreira João Tiago Ascensão P. Bizarro AAML 17 1 0 28 Jul 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 27 81 0 19 May 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Lingfeng Shen Ze Zhang Haiyun Jiang Ying Chen AAML 16 5 0 03 Feb 2023
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 19 4 0 09 Nov 2022
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 33 10 0 22 Apr 2021
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation Ieva Staliunaite P. Gorinski Ignacio Iacobacci LRM 136 22 0 13 Jan 2021
ANLIzing the Adversarial Natural Language Inference Dataset Adina Williams Tristan Thrush Douwe Kiela AAML 160 45 0 24 Oct 2020
Robust Encodings: A Framework for Combating Adversarial Typos Erik Jones Robin Jia Aditi Raghunathan Percy Liang AAML 120 102 0 04 May 2020
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 76 211 0 02 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 217 430 0 25 Sep 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 172 289 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 239 909 0 21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 181 708 0 17 Apr 2018
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,504 0 10 Jun 2015