Classifier evasion: Models and open problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6549 LNAI, Issue , 2011, Pages 92-98

  Nelson, Blaine ^a   Rubinstein, Benjamin I P ^b   Huang, Ling ^c   Joseph, Anthony D ^a,c   Tygar, J D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MICROSOFT RESEARCH   (United States)

^c INTEL CORPORATION   (United States)

Author keywords

Adversarial Learning; Evasion; Query Algorithms; Reverse Engineering

Indexed keywords

ADVERSARIAL LEARNING; EVASION; EVASION PROBLEMS; MACHINE-LEARNING; OPEN PROBLEMS; POSITION PAPERS; QUERY ALGORITHMS; SOFTWARE DEVELOPER;

DATA MINING; DATA PRIVACY; LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; REVERSE ENGINEERING;

ENGINEERING EDUCATION;

EID: 79955629381     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19896-0_8     Document Type: Conference Paper

References (8)

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