Universal Adversarial Triggers for Attacking and Analyzing NLP

20 August 2019

Papers citing "Universal Adversarial Triggers for Attacking and Analyzing NLP"

43 / 193 papers shown

Title
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 46 3,838 0 28 Jul 2021
Uncertainty-Aware Reliable Text Classification Yibo Hu Latifur Khan EDL UQCV 33 33 0 15 Jul 2021
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 242 593 0 14 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 41 851 0 07 Jul 2021
A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field Su Lin Blodgett Zeerak Talat Yulia Tsvetkov 42 122 0 21 Jun 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 40 815 0 14 Jun 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation Prakhar Gupta Yulia Tsvetkov Jeffrey P. Bigham 42 22 0 10 Jun 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models Jieyu Lin Jiajie Zou Nai Ding AAML 18 42 0 24 May 2021
Reliability Testing for Natural Language Processing Systems Samson Tan Chenyu You K. Baxter Araz Taeihagh G. Bennett Min-Yen Kan 15 38 0 06 May 2021
Hidden Backdoors in Human-Centric Language Models Shaofeng Li Hui Liu Tian Dong Benjamin Zi Hao Zhao Minhui Xue Haojin Zhu Jialiang Lu SILM 35 147 0 01 May 2021
Can NLI Models Verify QA Systems' Predictions? Jifan Chen Eunsol Choi Greg Durrett 28 54 0 18 Apr 2021
Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering Sara Rosenthal Mihaela A. Bornea Avirup Sil AAML 33 10 0 15 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 106 227 0 15 Apr 2021
Detoxifying Language Models Risks Marginalizing Minority Voices Albert Xu Eshaan Pathak Eric Wallace Suchin Gururangan Maarten Sap Dan Klein 24 121 0 13 Apr 2021
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews M. Hadi Fatemeh H. Fard 15 30 0 12 Apr 2021
FUDGE: Controlled Text Generation With Future Discriminators Kevin Kaichuang Yang Dan Klein 27 313 0 12 Apr 2021
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 27 9 0 27 Mar 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots Samson Tan Chenyu You AAML 29 35 0 17 Mar 2021
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification A. Azizi I. A. Tahmid Asim Waheed Neal Mangaokar Jiameng Pu M. Javed Chandan K. Reddy Bimal Viswanath AAML 25 76 0 07 Mar 2021
A Survey On Universal Adversarial Attack Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 23 90 0 02 Mar 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 230 77 0 30 Dec 2020
Generating Natural Language Attacks in a Hard Label Black Box Setting Rishabh Maheshwary Saket Maheshwary Vikram Pudi AAML 22 103 0 29 Dec 2020
Concealed Data Poisoning Attacks on NLP Models Eric Wallace Tony Zhao Shi Feng Sameer Singh SILM 19 18 0 23 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question Answering S. Yu Yulei Niu Shuohang Wang Jing Jiang Qianru Sun AAML OOD 42 9 0 12 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Zhao Meng Roger Wattenhofer GAN AAML 32 32 0 03 Oct 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models Samuel Gehman Suchin Gururangan Maarten Sap Yejin Choi Noah A. Smith 37 1,130 0 24 Sep 2020
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models Thai Le Suhang Wang Dongwon Lee 24 59 0 01 Sep 2020
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems Andrea Madotto Zihan Liu Zhaojiang Lin Pascale Fung 43 58 0 14 Aug 2020
Movement Pruning: Adaptive Sparsity by Fine-Tuning Victor Sanh Thomas Wolf Alexander M. Rush 32 468 0 15 May 2020
INFOTABS: Inference on Tables as Semi-structured Data Vivek Gupta Maitrey Mehta Pegah Nokhiz Vivek Srikumar LMTD 14 100 0 13 May 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 34 1,081 0 08 May 2020
Reevaluating Adversarial Examples in Natural Language John X. Morris Eli Lifland Jack Lanchantin Yangfeng Ji Yanjun Qi SILM AAML 20 111 0 25 Apr 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics Junghyun Min R. Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen 30 175 0 24 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 33 434 0 14 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets Matt Gardner Yoav Artzi Victoria Basmova Jonathan Berant Ben Bogin ... Sanjay Subramanian Reut Tsarfaty Eric Wallace Ally Zhang Ben Zhou ELM 43 84 0 06 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
A Survey on Contextual Embeddings Qi Liu Matt J. Kusner Phil Blunsom 225 146 0 16 Mar 2020
Plug and Play Language Models: A Simple Approach to Controlled Text Generation Sumanth Dathathri Andrea Madotto Janice Lan Jane Hung Eric Frank Piero Molino J. Yosinski Rosanne Liu KELM 46 938 0 04 Dec 2019
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly Nora Kassner Hinrich Schütze 17 316 0 08 Nov 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 28 560 0 26 Sep 2019
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 205 712 0 17 Apr 2018
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016