Approaches to adversarial drift

Proceedings of the ACM Conference on Computer and Communications Security

Volumn , Issue , 2013, Pages 99-109

  Kantchelian, Alex ^a   Afroz, Sadia ^b   Huang, Ling ^c   Islam, Aylin Caliskan ^b   Miller, Brad ^a   Tschantz, Michael Carl ^a   Greenstadt, Rachel ^b   Joseph, Anthony D ^a   Tygar, J D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b DREXEL UNIVERSITY   (United States)

^c INTEL CORPORATION   (United States)

Author keywords

adversarial machine learning; concept drift; malware classification

Indexed keywords

ADVERSARIAL ENVIRONMENTS; BINARY CLASSIFICATION; CONCEPT DRIFTS; FEATURE ENGINEERINGS; MACHINE-LEARNING; MALWARE CLASSIFICATIONS; POSITION PAPERS; PROVIDE GUIDANCES;

COMPUTER CRIME; LEARNING SYSTEMS;

ARTIFICIAL INTELLIGENCE;

EID: 84888987784     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2517312.2517320     Document Type: Conference Paper

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