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Data poisoning considers an adversary that distorts the training set of machine learning algorithms for malicious purposes.
Label-consistent backdoor attacks
Alexander Turner, Dimitris Tsipras, and Aleksander Madry · 1912
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On the effectiveness of mitigating data poisoning attacks with gradient shaping
Sanghyun Hong, Varun Chandrasekaran, Yigitcan Kaya, Tudor Dumitras, and Nicolas Papernot · 2002
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RAB: provable robustness against backdoor attacks
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, and Bo Li · 2003
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Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
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A framework of randomized selection based certified defenses against data poisoning attacks
Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, and Ping Li · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, and Tom Goldstein · 2012
Earlier work this paper cites.
Certified robustness of nearest neighbors against data poisoning attacks
Jinyuan Jia, Xiaoyu Cao, and Neil Zhenqiang Gong · 2012
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Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, and Christian Igel · 2012
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Min Lin, Qiang Chen, and Shuicheng Yan · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Achieving human parity in conversational speech recognition
Wayne Xiong, Jasha Droppo, Xuedong Huang, Frank Seide, Mike Seltzer, Andreas Stolcke, Dong Yu, and Geoffrey Zweig · 2016
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The power of localization for efficiently learning linear separators with noise
Pranjal Awasthi, Maria-Florina Balcan, and Philip M. Long · 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
Cited alongside, same era.
Markov chains and mixing times , volume 107
David A Levin and Yuval Peres · 2017
Cited alongside, same era.
Certified defenses for data poisoning attacks
Jacob Steinhardt, Pang Wei Koh, and Percy Liang · 2017
Cited alongside, same era.
The total variation distance between high-dimensional gaussians
Luc Devroye, Abbas Mehrabian, and Tommy Reddad · 2018
Cited alongside, same era.
Saeed Mahloujifar, Dimitrios I. Diochnos, and Mohammad Mahmoody · 2018
Cited alongside, same era.
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, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Neural cleanse: Identifying and mitigating backdoor attacks in neural networks
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao · 2019
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Transferable clean-label poisoning attacks on deep neural nets
Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, and Tom Goldstein · 2019
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Certified robustness to label-flipping attacks via randomized smoothing
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, and J. Zico Kolter · 2020
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Hidden trigger backdoor attacks
Aniruddha Saha, Akshayvarun Subramanya, and Hamed Pirsiavash · 2020
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Detection of adversarial training examples in poisoning attacks through anomaly detection
Andrea Paudice, Luis Muñoz-González, András György, and Emil C. Lupu · 2018
Cited alongside, same era.
Poison frogs! targeted clean-label poisoning attacks on neural networks
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, and Tom Goldstein · 2018
Cited alongside, same era.
Spectral signatures in backdoor attacks
Brandon Tran, Jerry Li, and Aleksander Madry · 2018
Cited alongside, same era.
Autoaugment: Learning augmentation strategies from data
Ekin D. Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, and Quoc V. Le · 2019
Cited alongside, same era.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Sever: A robust meta-algorithm for stochastic optimization
Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Jacob Steinhardt, and Alistair Stewart · 2019
Cited alongside, same era.
Data poisoning against differentially-private learners: Attacks and defenses
Yuzhe Ma, Xiaojin Zhu, and Justin Hsu · 2019
Cited alongside, same era.
Bullseye polytope: A scalable clean-label poisoning attack with improved transferability
Hojjat Aghakhani, Dongyu Meng, Yu-Xiang Wang, Christopher Kruegel, and Giovanni Vigna · 2021
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Learning and certification under instance-targeted poisoning
Ji Gao, Amin Karbasi, and Mohammad Mahmoody · 2021
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Witches’ brew: Industrial scale data poisoning via gradient matching
Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, and Tom Goldstein · 2021
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Intrinsic certified robustness of bagging against data poisoning attacks
Jinyuan Jia, Xiaoyu Cao, and Neil Zhenqiang Gong · 2021
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Deep partition aggregation: Provable defenses against general poisoning attacks
Alexander Levine and Soheil Feizi · 2021
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Robustly-reliable learners under poisoning attacks
Maria-Florina Balcan, Avrim Blum, Steve Hanneke, and Dravyansh Sharma · 2022
Closest in time.
Improved certified defenses against data poisoning with (deterministic) finite aggregation
Wenxiao Wang, Alexander Levine, and Soheil Feizi · 2022
Closest in time.