Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

17 April 2018

Luke Zettlemoyer

Papers citing "Adversarial Example Generation with Syntactically Controlled Paraphrase Networks"

50 / 146 papers shown

Title
Why is constrained neural language generation particularly challenging? Cristina Garbacea Qiaozhu Mei 59 14 0 11 Jun 2022
Adversarial Text Normalization Joanna Bitton Maya Pavlova Ivan Evtimov AAML 22 2 0 08 Jun 2022
Exploring Diversity in Back Translation for Low-Resource Machine Translation Laurie Burchell Alexandra Birch Kenneth Heafield 29 15 0 01 Jun 2022
Principled Paraphrase Generation with Parallel Corpora Aitor Ormazabal Mikel Artetxe Aitor Soroa Etxabe Gorka Labaka Eneko Agirre 48 9 0 24 May 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 22 6 0 29 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 23 40 0 25 Apr 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks Edoardo Mosca Shreyash Agarwal Javier Rando Georg Groh AAML 27 30 0 10 Apr 2022
VALUE: Understanding Dialect Disparity in NLU Caleb Ziems Jiaao Chen Camille Harris J. Anderson Diyi Yang ELM 44 41 0 06 Apr 2022
Fact Checking with Insufficient Evidence Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 37 14 0 05 Apr 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen Yangfeng Ji OOD AAML VLM 24 21 0 23 Mar 2022
Quality Controlled Paraphrase Generation Elron Bandel R. Aharonov Michal Shmueli-Scheuer Ilya Shnayderman Noam Slonim L. Ein-Dor 21 38 0 21 Mar 2022
Entailment Relation Aware Paraphrase Generation Abhilasha Sancheti Balaji Vasan Srinivasan Rachel Rudinger 38 4 0 20 Mar 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML 26 4 0 19 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 52 29 0 15 Mar 2022
Improving Lexical Embeddings for Robust Question Answering Weiwen Xu Bowei Zou Wai Lam A. Aw OOD AAML 21 1 0 28 Feb 2022
Actor-Critic Network for Q&A in an Adversarial Environment Bejan Sadeghian AAML 19 0 0 03 Jan 2022
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 21 5 0 22 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? Xinhsuai Dong Anh Tuan Luu Min-Bin Lin Shuicheng Yan Hanwang Zhang SILM AAML 20 55 0 22 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Massive-scale Decoding for Text Generation using Lattices Jiacheng Xu Siddhartha Reddy Jonnalagadda Greg Durrett AI4CE 29 8 0 14 Dec 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models Wei Ping Chejian Xu Shuohang Wang Zhe Gan Yu Cheng Jianfeng Gao Ahmed Hassan Awadallah Yangqiu Song VLM ELM AAML 24 214 0 04 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 80 1,030 0 01 Nov 2021
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs M. Jegadeesan Sachin Kumar John Wieting Yulia Tsvetkov SyDa 27 2 0 25 Oct 2021
Generating Watermarked Adversarial Texts Mingjie Li Hanzhou Wu Xinpeng Zhang AAML WaLM 21 1 0 25 Oct 2021
GenNI: Human-AI Collaboration for Data-Backed Text Generation Hendrik Strobelt J. Kinley Robert Krueger Johanna Beyer Hanspeter Pfister Alexander M. Rush 23 23 0 19 Oct 2021
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement HyoJung Han Seokchan Ahn Yoonjung Choi Insoo Chung Sangha Kim Kyunghyun Cho 25 6 0 18 Oct 2021
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings Kalpesh Krishna Deepak Nathani Xavier Garcia Bidisha Samanta Partha P. Talukdar 40 24 0 14 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 82 175 0 14 Oct 2021
Controllable Neural Dialogue Summarization with Personal Named Entity Planning Zhengyuan Liu Nancy F. Chen 21 62 0 27 Sep 2021
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization Ahmed Magooda Diane Litman 42 5 0 17 Sep 2021
Detecting Textual Adversarial Examples through Randomized Substitution and Vote Xiaosen Wang Yifeng Xiong Kun He AAML 17 11 0 13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 36 8 0 13 Sep 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning Yangyi Chen Jingtong Su Wei Wei AAML 17 32 0 09 Sep 2021
Paraphrase Generation as Unsupervised Machine Translation Xiaofei Sun Yufei Tian Yuxian Meng Nanyun Peng Fei Wu Jiwei Li Chun Fan LRM 22 5 0 07 Sep 2021
Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation Usama Yaseen Stefan Langer MedIm 21 15 0 26 Aug 2021
Towards Robustness Against Natural Language Word Substitutions Xinshuai Dong A. Luu Rongrong Ji Hong Liu SILM AAML 32 113 0 28 Jul 2021
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation Anish Acharya Rudrajit Das 11 0 0 07 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding Dong Wang Ning Ding Pijian Li Haitao Zheng AAML 37 115 0 01 Jul 2021
Bad Characters: Imperceptible NLP Attacks Nicholas Boucher Ilia Shumailov Ross J. Anderson Nicolas Papernot AAML SILM 41 103 0 18 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation Prakhar Gupta Yulia Tsvetkov Jeffrey P. Bigham 36 22 0 10 Jun 2021
How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation Swaroop Mishra Anjana Arunkumar 28 24 0 10 Jun 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 39 799 0 07 May 2021
Reliability Testing for Natural Language Processing Systems Samson Tan Shafiq R. Joty K. Baxter Araz Taeihagh G. Bennett Min-Yen Kan 15 38 0 06 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 42 79 0 30 Apr 2021
Addressing the Vulnerability of NMT in Input Perturbations Weiwen Xu A. Aw Yang Ding Kui Wu Shafiq R. Joty AAML 29 10 0 20 Apr 2021
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples Qianchu Liu E. Ponti Diana McCarthy Ivan Vulić Anna Korhonen 21 17 0 17 Apr 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 41 240 0 01 Jan 2021
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers Shiyang Li Semih Yavuz Kazuma Hashimoto Jia Li Tong Niu Nazneen Rajani Xifeng Yan Yingbo Zhou Caiming Xiong 41 62 0 24 Oct 2020
An Analysis of Simple Data Augmentation for Named Entity Recognition Xiang Dai Heike Adel 35 194 0 22 Oct 2020