HotFlip: White-Box Adversarial Examples for Text Classification
暂无分享,去创建一个
Dejing Dou | Daniel Lowd | Javid Ebrahimi | Anyi Rao | D. Dou | Daniel Lowd | Anyi Rao | J. Ebrahimi
[1] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[2] Ananthram Swami,et al. The Limitations of Deep Learning in Adversarial Settings , 2015, 2016 IEEE European Symposium on Security and Privacy (EuroS&P).
[3] Yann LeCun,et al. Very Deep Convolutional Networks for Text Classification , 2016, EACL.
[4] Graham Rawlinson,et al. The Significance of Letter Position in Word Recognition , 2007, IEEE Aerospace and Electronic Systems Magazine.
[5] David A. Wagner,et al. Towards Evaluating the Robustness of Neural Networks , 2016, 2017 IEEE Symposium on Security and Privacy (SP).
[6] Alexander M. Rush,et al. Character-Aware Neural Language Models , 2015, AAAI.
[7] José A. R. Fonollosa,et al. Character-based Neural Machine Translation , 2016, ACL.
[8] Luke S. Zettlemoyer,et al. Adversarial Example Generation with Syntactically Controlled Paraphrase Networks , 2018, NAACL.
[9] Ananthram Swami,et al. Crafting adversarial input sequences for recurrent neural networks , 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.
[10] Joan Bruna,et al. Intriguing properties of neural networks , 2013, ICLR.
[11] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[12] Yonatan Belinkov,et al. Synthetic and Natural Noise Both Break Neural Machine Translation , 2017, ICLR.
[13] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[14] Christopher Meek,et al. Adversarial learning , 2005, KDD '05.
[15] Radha Poovendran,et al. Deceiving Google's Perspective API Built for Detecting Toxic Comments , 2017, ArXiv.
[16] Timothy Baldwin,et al. Learning Robust Representations of Text , 2016, EMNLP.
[17] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[18] Sameer Singh,et al. Generating Natural Adversarial Examples , 2017, ICLR.
[19] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[20] Andrew M. Dai,et al. Adversarial Training Methods for Semi-Supervised Text Classification , 2016, ICLR.
[21] Pedro M. Domingos,et al. Adversarial classification , 2004, KDD.
[22] Percy Liang,et al. Adversarial Examples for Evaluating Reading Comprehension Systems , 2017, EMNLP.
[23] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[24] Aleksander Madry,et al. Towards Deep Learning Models Resistant to Adversarial Attacks , 2017, ICLR.
[25] Jonathon Shlens,et al. Explaining and Harnessing Adversarial Examples , 2014, ICLR.