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余温|文本对抗攻击基础、前沿及相关资源( 五 )


[3] Adversarial attacks and defences: A survey. Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay. arXiv 2018.
[4] Semantically Equivalent Adversarial Rules for Debugging NLP Models. Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin. ACL 2018.
[5] Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer. NAACL-HLT 2018.
[6] Generating Natural Adversarial Examples. Zhengli Zhao, Dheeru Dua, Sameer Singh. ICLR 2018.
[7] Adversarial Examples for Evaluating Reading Comprehension Systems. Robin Jia, and Percy Liang. EMNLP 2017.
[8] Generating Natural Language Adversarial Examples. Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang. EMNLP 2018.
[9] Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits. AAAI-20.
[10] Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che. ACL 2019.
[11] Word-level Textual Adversarial Attacking as Combinatorial Optimization. Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, Maosong Sun. ACL 2020.
[12] Generating Fluent Adversarial Examples for Natural Languages. Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li. ACL 2019.
[13] Deep Text Classification Can be Fooled. Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi. IJCAI 2018.
[14] Synthetic and Natural Noise Both Break Neural Machine Translation. Yonatan Belinkov, Yonatan Bisk. ICLR 2018.
[15] HotFlip: White-Box Adversarial Examples for Text Classification. Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou. ACL 2018.
[16] Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. Steffen Eger, G?zde Gül ?Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych. NAACL-HLT 2019.
[17] TEXTBUGGER: Generating Adversarial Text Against Real-world Applications. Jinfeng Li, Shouling Ji, Tianyu Du, Bo Li, Ting Wang. NDSS 2019.
[18] Combating Adversarial Misspellings with Robust Word Recognition. Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton. ACL 2019.
[19] Crafting Adversarial Input Sequences For Recurrent Neural Networks. Nicolas Papernot, Patrick McDaniel, Ananthram Swami, Richard Harang. MILCOM 2016.
[20] HowNet and the computation of meaning. Zhendong Dong, Qiang Dong. 2006.
[21] Particle swarm optimization. Russell Eberhart, James Kennedy. IEEE International Conference on Neural Networks 1995.
[22] A comparison of particle swarm optimization and the genetic algorithm. Rania Hassan, Babak Cohanim, Olivier De Weck, Gerhard Venter. 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2005.
[23] Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh. ACL 2020.


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