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Machine learning algorithms are vulnerable to poisoning attacks: An adversary can inject malicious points in the training dataset to influence the learning process and degrade the algorithm's performance.
Gradient-based Learning Applied to Document Recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner, et al · 1998
Earlier work this paper cites.
Can Machine Learning be Secure?
Marco Barreno, Blaine Nelson, Russell Sears, Anthony D Joseph, and J Doug Tygar · 2006
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Outlier Detection by Sampling with Accuracy Guarantees
Mingxi Wu and Christopher Jermaine · 2006
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Exploiting Machine Learning to Subvert Your Spam Filter
Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D Joseph, Benjamin IP Rubinstein, Udam Saini, Charles A Sutton, J Doug Tygar, and Kai Xia · 2008
Earlier work this paper cites.
The Security of Machine Learning
Marco Barreno, Blaine Nelson, Anthony D Joseph, and J Doug Tygar · 2010
Earlier work this paper cites.
Adversarial Machine Learning
Ling Huang, Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and JD Tygar · 2011
Earlier work this paper cites.
Poisoning Attacks against Support Vector Machines
Battista Biggio, Blaine Nelson, and Pavel Laskov · 2012
Earlier work this paper cites.
Security Analysis of Online Centroid Anomaly Detection
Marius Kloft and Pavel Laskov · 2012
Earlier work this paper cites.
Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371)
Anthony D Joseph, Pavel Laskov, Fabio Roli, J Doug Tygar, and Blaine Nelson · 2013
Earlier work this paper cites.
Generative Adversarial Nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
Conditional Generative Adversarial Nets
Mehdi Mirza and Simon Osindero · 2014
Cited alongside, same era.
Explaining and Harnessing Adversarial Examples
Ian Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Cited alongside, same era.
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners
Shike Mei and Xiaojin Zhu · 2015
Cited alongside, same era.
Is Feature Selection Secure against Training Data Poisoning?
Huang Xiao, Battista Biggio, Gavin Brown, Giorgio Fumera, Claudia Eckert, and Fabio Roli · 2015
Cited alongside, same era.
Don’t Fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh and Percy Liang · 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
Later among the works it cites.
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt, Pang Wei W Koh, and Percy S Liang · 2017
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Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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Generative Poisoning Attack Method against Neural Networks
Chaofei Yang, Qing Wu, Hai Li, and Yiran Chen · 2017
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Vittorio P Illiano, Luis Muñoz González, and Emil C Lupu · 2016
Cited alongside, same era.
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Cited alongside, same era.
Badnets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
Cited alongside, same era.
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice, Luis Muñoz-González, Andras Gyorgy, and Emil C Lupu
Cited in the paper.
Label Sanitization against Label Flipping Poisoning Attacks
Andrea Paudice, Luis Muñoz-González, and Emil C Lupu
Cited in the paper.
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, and Bo Li · 2018
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Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Pang Wei Koh, Jacob Steinhardt, and Percy Liang · 2018
Later among the works it cites.
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
Later among the works it cites.