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Many natural language related applications involve text generation, created by humans or machines.
Field computation by moment methods, 1969
DS Jones · 1969
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Parallel distributed processing: explorations in the microstructure of cognition
Keith J Holyoak · 1987
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Using hidden markov modeling to decompose human-written summaries
Hongyan Jing · 2002
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Attacking neural text detectors
Max Wolff and Stuart Wolff · 2002
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Paragraph: Thwarting signature learning by training maliciously
James Newsome, Brad Karp, and Dawn Song · 2006
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Misleading worm signature generators using deliberate noise injection
Roberto Perdisci, David Dagon, Wenke Lee, Prahlad Fogla, and Monirul Sharif · 2006
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Exploiting machine learning to subvert your spam filter
Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D Joseph, Benjamin IP Rubinstein, Udam Saini, Charles Sutton, J Doug Tygar, and Kai Xia · 2008
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Antidote: understanding and defending against poisoning of anomaly detectors
Benjamin IP Rubinstein, Blaine Nelson, Ling Huang, Anthony D Joseph, Shing-hon Lau, Satish Rao, Nina Taft, and J Doug Tygar · 2009
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The security of machine learning
Marco Barreno, Blaine Nelson, Anthony D Joseph, and J Doug Tygar · 2010
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Poisoning attacks against support vector machines
Battista Biggio, Blaine Nelson, and Pavel Laskov · 2012
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On the practicality of integrity attacks on document-level sentiment analysis
Andrew Newell, Rahul Potharaju, Luojie Xiang, and Cristina Nita-Rotaru · 2014
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Siamese neural networks for one-shot image recognition
Gregory Koch, Richard Zemel, Ruslan Salakhutdinov, et al · 2015
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Professor forcing: A new algorithm for training recurrent networks
Alex M Lamb, Anirudh Goyal ALIAS PARTH GOYAL, Ying Zhang, Saizheng Zhang, Aaron C Courville, and Yoshua Bengio · 2016
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Gans for sequences of discrete elements with the gumbel-softmax distribution
Matt J Kusner and José Miguel Hernández-Lobato · 2016
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Secure kernel machines against evasion attacks
Paolo Russu, Ambra Demontis, Battista Biggio, Giorgio Fumera, and Fabio Roli · 2016
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Adversarial ranking for language generation
Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, and Ming-Ting Sun · 2017
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Maximum-likelihood augmented discrete generative adversarial networks
Tong Che, Yanran Li, Ruixiang Zhang, R Devon Hjelm, Wenjie Li, Yangqiu Song, and Yoshua Bengio · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Adversarial text generation via feature-mover’s distance
Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, and Lawrence Carin · 2018
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Generating natural language adversarial examples
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, and Kai-Wei Chang · 2018
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Semantically equivalent adversarial rules for debugging nlp models
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin · 2018
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Evasion attacks with adversarial deep learning against power system state estimation
Ali Sayghe, Junbo Zhao, and Charalambos Konstantinou · 2020
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Testing chatbots with charm
Sergio Bravo-Santos, Esther Guerra, and Juan de Lara · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Is bert really robust? a strong baseline for natural language attack on text classification and entailment
Di Jin, Zhijing Jin, Joey Tianyi Zhou, and Peter Szolovits · 2020
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A detection and prevention technique on sql injection attacks
Zar Chi Su Su Hlaing and Myo Khaing · 2020
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Cscl: Critical semantic-consistent learning for unsupervised domain adaptation
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Adversarial example generation with syntactically controlled paraphrase networks
Mohit Iyyer, John Wieting, Kevin Gimpel, and Luke Zettlemoyer · 2018
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Black-box generation of adversarial text sequences to evade deep learning classifiers
Ji Gao, Jack Lanchantin, Mary Lou Soffa, and Yanjun Qi · 2018
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Textbugger: Generating adversarial text against real-world applications
Jinfeng Li, Shouling Ji, Tianyu Du, Bo Li, and Ting Wang · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Cot: Cooperative training for generative modeling of discrete data
Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, and Weinan Zhang · 2019
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Generating black-box adversarial examples for text classifiers using a deep reinforced model
Prashanth Vijayaraghavan and Deb Roy · 2019
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Text processing like humans do: Visually attacking and shielding nlp systems
Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, and Iryna Gurevych · 2019
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Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, and Xiaowei Xu · 2020
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Contrastive cross-modal pre-training: A general strategy for small sample medical imaging
Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, and Nathan Jacobs · 2021
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Omni: automated ensemble with unexpected models against adversarial evasion attack
Rui Shu, Tianpei Xia, Laurie Williams, and Tim Menzies · 2022
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Fence: Feasible evasion attacks on neural networks in constrained environments
Alesia Chernikova and Alina Oprea · 2022
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Adversarial machine learning in text processing: A literature survey
Izzat Alsmadi, Nura Aljaafari, Mahmoud Nazzal, Shadan AlHamed, Ahmad Sawalmeh, Conrado P Vizcarra, Abdallah Khreishah, Muhammad Anan, Abdulelah Algosaibi, Mohammed Alnaeem, et al · 2022
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Word-level textual adversarial attacking based on genetic algorithm
Dingmeng Shi, Zhaocheng Ge, and Tengfei Zhao · 2022
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Entity-based de-noising modeling for controllable dialogue summarization
Zhengyuan Liu and Nancy Chen · 2022
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Data-driven mitigation of adversarial text perturbation
Rasika Bhalerao, Mohammad Al-Rubaie, Anand Bhaskar, and Igor Markov · 2022
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Recdroid+: Automated end-to-end crash reproduction from bug reports for android apps
Yu Zhao, Ting Su, Yang Liu, Wei Zheng, Xiaoxue Wu, Ramakanth Kavuluru, William GJ Halfond, and Tingting Yu · 2022
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Dynamic feature alignment for semi-supervised domain adaptation
Yu Zhang, Gongbo Liang, and Nathan Jacobs · 2022
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