Reevaluating Adversarial Examples in Natural Language

Reevaluating Adversarial Examples in Natural Language

25 April 2020

Jack Lanchantin

Papers citing "Reevaluating Adversarial Examples in Natural Language"

11 / 11 papers shown

Title
TaeBench: Improving Quality of Toxic Adversarial Examples Xuan Zhu Dmitriy Bespalov Liwen You Ninad Kulkarni Yanjun Qi AAML 71 0 0 08 Oct 2024
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 62 1 0 06 Oct 2023
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace Jens Tuyls Junlin Wang Sanjay Subramanian Matt Gardner Sameer Singh MILM 39 137 0 19 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 372 11,979 0 27 Aug 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 68 1,064 0 27 Jul 2019
Defending Against Neural Fake News Rowan Zellers Ari Holtzman Hannah Rashkin Yonatan Bisk Ali Farhadi Franziska Roesner Yejin Choi AAML 79 1,012 0 29 May 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models Paul Michel Xian Li Graham Neubig J. Pino AAML 43 136 0 15 Mar 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 105 731 0 13 Dec 2018
Neural Network Acceptability Judgments Alex Warstadt Amanpreet Singh Samuel R. Bowman 126 1,390 0 31 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 321 921 0 21 Apr 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 313 4,444 0 18 Apr 2017