A Differentiable Language Model Adversarial Attack on Text Classifiers

A Differentiable Language Model Adversarial Attack on Text Classifiers

23 July 2021

Alexey Zaytsev

Pavel Burnyshev

Ekaterina Dmitrieva

Nikita Klyuchnikov

Ekaterina Artemova

Papers citing "A Differentiable Language Model Adversarial Attack on Text Classifiers"

10 / 10 papers shown

Title
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets Vatsal Gupta Pranshu Pandya Tushar Kataria Vivek Gupta Dan Roth AAML 57 1 0 03 Jan 2025
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices Elizaveta Kostenok D. Cherniavskii Alexey Zaytsev 56 5 0 22 Aug 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 33 18 0 29 Jan 2023
Can Language Representation Models Think in Bets? Zhi–Bin Tang Mayank Kejriwal 15 6 0 14 Oct 2022
Usage of specific attention improves change point detection Anna Dmitrienko Evgenia Romanenkova Alexey Zaytsev 13 0 0 18 Apr 2022
Adversarial Bone Length Attack on Action Recognition Nariki Tanaka Hiroshi Kera K. Kawamoto AAML 27 13 0 13 Sep 2021
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations Samson Tan Shafiq R. Joty Min-Yen Kan R. Socher 166 103 0 09 May 2020
Robust Encodings: A Framework for Combating Adversarial Typos Erik Jones Robin Jia Aditi Raghunathan Percy Liang AAML 142 102 0 04 May 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 213 1,654 0 16 Mar 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 273 3,110 0 04 Nov 2016