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Recently, neural network based dialogue systems have become ubiquitous in our increasingly digitalized society.
Generating textual adversarial examples for deep learning models: A survey
Wei Emma Zhang, Quan Z Sheng, and Ahoud Abdulrahmn F Alhazmi. 2019 · 1901
Earlier work this paper cites.
Say what i want: Towards the dark side of neural dialogue models
Haochen Liu, Tyler Derr, Zitao Liu, and Jiliang Tang. 2019b · 1909
Earlier work this paper cites.
Adversarial attacks and defenses in images, graphs and text: A review
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, and Anil K. Jain. 2019 · 1909
Earlier work this paper cites.
Does gender matter? towards fairness in dialogue systems
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, and Jiliang Tang. 2019a · 1910
Earlier work this paper cites.
Queens are powerful too: Mitigating gender bias in dialogue generation
Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, and Jason Weston. 2019 · 1911
Earlier work this paper cites.
Eliza—a computer program for the study of natural language communication between man and machine
Joseph Weizenbaum. 1966 · 1966
Earlier work this paper cites.
Q-learning
Christopher JCH Watkins and Peter Dayan. 1992 · 1992
Earlier work this paper cites.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
Earlier work this paper cites.
A form-based dialogue manager for spoken language applications
David Goddeau, Helen Meng, Joseph Polifroni, Stephanie Seneff, and Senis Busayapongchai. 1996 · 1996
Earlier work this paper cites.
Policy gradient methods for reinforcement learning with function approximation
Richard S Sutton, David A McAllester, Satinder P Singh, and Yishay Mansour. 2000 · 2000
Earlier work this paper cites.
Artificial linguistic internet computer entity (alice)
Richard Wallace. 2001 · 2001
Earlier work this paper cites.
A deep architecture for matching short texts
Zhengdong Lu and Hang Li. 2013 · 2013
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2015 · 2015
Cited alongside, same era.
Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2017 · 2017
Later among the works it cites.
Generating natural adversarial examples
Zhengli Zhao, Dheeru Dua, and Sameer Singh. 2017 · 2017
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Adversarial attacks and defences: A survey
Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, and Debdeep Mukhopadhyay. 2018 · 2018
Later among the works it cites.
Attacking visual language grounding with adversarial examples: A case study on neural image captioning
Hongge Chen. 2018 · 2018
Later among the works it cites.
Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples
Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, and Cho-Jui Hsieh. 2018 · 2018
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Neural responding machine for short-text conversation
Lifeng Shang, Zhengdong Lu, and Hang Li. 2015 · 2015
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Oriol Vinyals and Quoc Le. 2015 · 2015
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Microsoft is deleting its ai chatbot’s incredibly racist tweets
Rob Price. 2016 · 2016
Cited alongside, same era.
Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C Courville, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
Towards universal paraphrastic sentence embeddings
John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2016 · 2016
Cited alongside, same era.
A survey on dialogue systems: Recent advances and new frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
Cited alongside, same era.
Ethical challenges in data-driven dialogue systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, and Joelle Pineau. 2017 · 2017
Cited alongside, same era.
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Detecting egregious responses in neural sequence-to-sequence models
Tianxing He and James Glass. 2018 · 2018
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Adversarial examples for natural language classification problems
Volodymyr Kuleshov, Shantanu Thakoor, Tingfung Lau, and Stefano Ermon. 2018 · 2018
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Deep text classification can be fooled
Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, and Wenchang Shi. 2018 · 2018
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Adversarial over-sensitivity and over-stability strategies for dialogue models
Tong Niu and Mohit Bansal. 2018 · 2018
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From eliza to xiaoice: challenges and opportunities with social chatbots
Heung-Yeung Shum, Xiao-dong He, and Di Li. 2018 · 2018
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The design and implementation of xiaoice, an empathetic social chatbot
Li Zhou, Jianfeng Gao, Di Li, and Heung-Yeung Shum. 2018 · 2018
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. 2019 · 2019
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Adversarial examples: Attacks and defenses for deep learning
Xiaoyong Yuan, Pan He, Qile Zhu, and Xiaolin Li. 2019 · 2019
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Convolutional neural network architectures for matching natural language sentences
Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen. 2014 · 2050
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