Token-Modification Adversarial Attacks for Natural Language Processing:
A Survey

Token-Modification Adversarial Attacks for Natural Language Processing: A Survey

1 March 2021

Wei Liu

Papers citing "Token-Modification Adversarial Attacks for Natural Language Processing: A Survey"

6 / 6 papers shown

Title
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 13 76 0 25 Jan 2024
On the Limitations of Reference-Free Evaluations of Generated Text Daniel Deutsch Rotem Dror Dan Roth 32 45 0 22 Oct 2022
Phrase-level Textual Adversarial Attack with Label Preservation Yibin Lei Yu Cao Dianqi Li Tianyi Zhou Meng Fang Mykola Pechenizkiy AAML 35 24 0 22 May 2022
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations Samson Tan Shafiq R. Joty Min-Yen Kan R. Socher 158 103 0 09 May 2020
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
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016