Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning
Author(s) -
Samuel Yeom,
Irene Giacomelli,
Alan Menaged,
Matt Fredrikson,
Somesh Jha
Publication year - 2019
Publication title -
journal of computer security
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.201
H-Index - 56
eISSN - 1875-8924
pISSN - 0926-227X
DOI - 10.3233/jcs-191362
Subject(s) - overfitting , computer science , inference , robustness (evolution) , machine learning , artificial intelligence , bounded function , private information retrieval , data mining , algorithm , computer security , mathematics , artificial neural network , biochemistry , chemistry , gene , mathematical analysis
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