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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 29 / No.1: The Twenty-Ninth Conference on Artificial Intelligence

Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners

March 8, 2023

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Authors

Shike Mei

University of Wisconsin-Madison


Xiaojin Zhu

University of Wisconsin-Madison


DOI:

10.1609/aaai.v29i1.9569


Abstract:

We investigate a problem at the intersection of machine learning and security: training-set attacks on machine learners. In such attacks an attacker contaminates the training data so that a specific learning algorithm would produce a model profitable to the attacker. Understanding training-set attacks is important as more intelligent agents (e.g. spam filters and robots) are equipped with learning capability and can potentially be hacked via data they receive from the environment. This paper identifies the optimal training-set attack on a broad family of machine learners. First we show that optimal training-set attack can be formulated as a bilevel optimization problem. Then we show that for machine learners with certain Karush-Kuhn-Tucker conditions we can solve the bilevel problem efficiently using gradient methods on an implicit function. As examples, we demonstrate optimal training-set attacks on Support VectorMachines, logistic regression, and linear regression with extensive experiments. Finally, we discuss potential defenses against such attacks.

Topics: AAAI

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HOW TO CITE:

Shike Mei|| Xiaojin Zhu Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners Proceedings of the AAAI Conference on Artificial Intelligence, 29 (2015) .

Shike Mei|| Xiaojin Zhu Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners AAAI 2015, .

Shike Mei|| Xiaojin Zhu (2015). Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners. Proceedings of the AAAI Conference on Artificial Intelligence, 29, .

Shike Mei|| Xiaojin Zhu. Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners. Proceedings of the AAAI Conference on Artificial Intelligence, 29 2015 p..

Shike Mei|| Xiaojin Zhu. 2015. Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners. "Proceedings of the AAAI Conference on Artificial Intelligence, 29". .

Shike Mei|| Xiaojin Zhu. (2015) "Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners", Proceedings of the AAAI Conference on Artificial Intelligence, 29, p.

Shike Mei|| Xiaojin Zhu, "Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners", AAAI, p., 2015.

Shike Mei|| Xiaojin Zhu. "Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners". Proceedings of the AAAI Conference on Artificial Intelligence, 29, 2015, p..

Shike Mei|| Xiaojin Zhu. "Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners". Proceedings of the AAAI Conference on Artificial Intelligence, 29, (2015): .

Shike Mei|| Xiaojin Zhu. Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners. AAAI[Internet]. 2015[cited 2023]; .


ISSN: 2374-3468


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