The security of machine learning

DOI10.1007/s10994-010-5188-5zbMath1470.68080OpenAlexW2125908420MaRDI QIDQ1959616

Anthony D. Joseph, J. D. Tygar, Blaine Nelson, Marco Barreno

Publication date: 7 October 2010

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-010-5188-5

zbMATH Keywords

securityadversarial learningadversarial environments

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computer security (68M25)

Related Items

Stronger data poisoning attacks break data sanitization defenses ⋮ Protocol for secure quantum machine learning at a distant place ⋮ A fast saddle-point dynamical system approach to robust deep learning ⋮ Recursive reasoning-based training-time adversarial machine learning ⋮ Optimization problems for machine learning: a survey ⋮ Optimally Deceiving a Learning Leader in Stackelberg Games

Uses Software

• robustbase
• Autograph
• Polygraph
• SpamBayes

Cites Work

• A Mathematical Theory of Communication
• Learning in the Presence of Malicious Errors
• A theory of the learnable
• Machine Learning: ECML 2004
• Robust Statistics
• Prediction, Learning, and Games
• Robust Statistics
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: The security of machine learning