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We study data poisoning attacks in the online setting where training items arrive sequentially, and the attacker may perturb the current item to manipulate online learning.
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Robust and optimal control
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Karl J Åström · 2012
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Battista Biggio, Blaine Nelson, and Pavel Laskov · 2012
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Karl J Åström and Björn Wittenmark · 2013
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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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Stochastic systems: Estimation, identification, and adaptive control
Panqanamala Ramana Kumar and Pravin Varaiya · 2015
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Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2015
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Using machine teaching to identify optimal training-set attacks on machine learners
Shike Mei and Xiaojin Zhu · 2015
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Support vector machines under adversarial label contamination
Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, and Fabio Roli · 2015
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Data poisoning attacks against autoregressive models
Scott Alfeld, Xiaojin Zhu, and Paul Barford · 2016
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Data poisoning attacks on factorization-based collaborative filtering
Bo Li, Yining Wang, Aarti Singh, and Yevgeniy Vorobeychik · 2016
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Iterative machine teaching
Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B Smith, James M Rehg, and Le Song · 2017
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Towards poisoning of deep learning algorithms with back-gradient optimization
Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C Lupu, and Fabio Roli · 2017
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Online linear quadratic control
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, and Kunal Talwar · 2018
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Adversarial Machine Learning
Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and JD Tygar · 2018
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Adversarial attacks on stochastic bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma, and Jerry Zhu · 2018
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Mohammad Gheshlaghi Azar, Ian Osband, and Rémi Munos · 2017
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Predictive control for linear and hybrid systems
Francesco Borrelli, Alberto Bemporad, and Manfred Morari · 2017
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Analysis of causative attacks against svms learning from data streams
Cody Burkard and Brent Lagesse · 2017
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Targeted backdoor attacks on deep learning systems using data poisoning
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, and Dawn Song · 2017
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On the sample complexity of the linear quadratic regulator
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, and Stephen Tu · 2017
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Dheeru Dua and Casey Graff · 2017
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Jump: A modeling language for mathematical optimization
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Laurent Lessard, Xuezhou Zhang, and Xiaojin Zhu · 2018
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Data poisoning attacks in contextual bandits
Yuzhe Ma, Kwang-Sung Jun, Lihong Li, and Xiaojin Zhu · 2018
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Training set camouflage
Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, and Xiaojin Zhu · 2018
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Adversarial machine learning
Yevgeniy Vorobeychik and Murat Kantarcioglu · 2018
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Data poisoning attacks against online learning
Yizhen Wang and Kamalika Chaudhuri · 2018
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An optimal control view of adversarial machine learning
Xiaojin Zhu · 2018
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Online control with adversarial disturbances
Naman Agarwal, Brian Bullins, Elad Hazan, Sham M Kakade, and Karan Singh · 2019
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Optimal adversarial attack on autoregressive models
Yiding Chen and Xiaojin Zhu · 2019
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