Universal Adversarial Triggers for Attacking and Analyzing NLP

Universal Adversarial Triggers for Attacking and Analyzing NLP

20 August 2019

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

12 / 162 papers shown

Title
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems Andrea Madotto Zihan Liu Zhaojiang Lin Pascale Fung 38 58 0 14 Aug 2020
Movement Pruning: Adaptive Sparsity by Fine-Tuning Victor Sanh Thomas Wolf Alexander M. Rush 19 466 0 15 May 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 6 1,080 0 08 May 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics Junghyun Min R. Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen 28 175 0 24 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 28 432 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 35 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 1,450 0 18 Mar 2020
A Survey on Contextual Embeddings Qi Liu Matt J. Kusner Phil Blunsom 219 146 0 16 Mar 2020
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik Eduard H. Hovy Zachary Chase Lipton CML 9 560 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 193 711 0 17 Apr 2018
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 201 1,367 0 06 Jun 2016