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Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs

20 January 2022

Papers citing "Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs"

22 / 22 papers shown

Title
Generating Fluent Adversarial Examples for Natural Languages Huangzhao Zhang Hao Zhou Ning Miao Lei Li AAML GAN 62 144 0 13 Jul 2020
Universal Adversarial Attacks with Natural Triggers for Text Classification Liwei Song Xinwei Yu Hsuan-Tung Peng Karthik Narasimhan SILM AAML 81 76 0 01 May 2020
BAE: BERT-based Adversarial Examples for Text Classification Siddhant Garg Goutham Ramakrishnan AAML SILM 211 557 0 04 Apr 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models Yankun Ren J. Lin Siliang Tang Jun Zhou Shuang Yang Yuan Qi Xiang Ren GAN AAML SILM 59 23 0 10 Mar 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 503 20,376 0 23 Oct 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 100 15 0 10 Oct 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 79 678 0 17 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 574 4,391 0 23 Aug 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP Eric Wallace Shi Feng Nikhil Kandpal Matt Gardner Sameer Singh AAML SILM 116 877 0 20 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 201 1,088 0 27 Jul 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 95 1,845 0 06 May 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 139 1,253 0 29 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 417 933 0 21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 349 721 0 17 Apr 2018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost Noam M. Shazeer Mitchell Stern ODL 86 1,053 0 11 Apr 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 103 1,871 0 02 Jan 2018
Synthetic and Natural Noise Both Break Neural Machine Translation Yonatan Belinkov Yonatan Bisk 129 744 0 06 Nov 2017
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task Allyson Ettinger Sudha Rao Hal Daumé Emily M. Bender FedML 69 94 0 04 Nov 2017
Towards Crafting Text Adversarial Samples Suranjana Samanta S. Mehta AAML 77 222 0 10 Jul 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 131 1,867 0 20 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,497 0 18 Apr 2017