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Volumn , Issue , 2012, Pages 1059-1067

Adversarial support vector machine learning

Author keywords

adversarial learning; attack models; robust SVM

Indexed keywords

ACTIVE ADVERSARY; ADVERSARIAL LEARNING; ATTACK MODEL; ATTACK STRATEGIES; CREDIT CARD FRAUD DETECTIONS; DATA CORRUPTION; LEARNING MODELS; LEARNING PROBLEM; LEARNING STRATEGY; LEARNING TASKS; OPTIMAL SOLUTIONS; REAL DATA SETS; ROBUST LEARNING; ROBUST SVM; SPAM FILTERING;

EID: 84866042395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339697     Document Type: Conference Paper
Times cited : (132)

References (25)
  • 8
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    • Learning to classify with missing and corrupted features
    • O. Dekel, O. Shamir, and L. Xiao. Learning to classify with missing and corrupted features. Machine Learning, 81(2):149-178, 2010.
    • (2010) Machine Learning , vol.81 , Issue.2 , pp. 149-178
    • Dekel, O.1    Shamir, O.2    Xiao, L.3
  • 14
    • 78651359266 scopus 로고    scopus 로고
    • Classifier evaluation and attribute selection against active adversaries
    • January
    • M. Kantarcioglu, B. Xi, and C. Clifton. Classifier evaluation and attribute selection against active adversaries. Data Min. Knowl. Discov., 22:291-335, January 2011.
    • (2011) Data Min. Knowl. Discov. , vol.22 , pp. 291-335
    • Kantarcioglu, M.1    Xi, B.2    Clifton, C.3
  • 15
    • 0027640858 scopus 로고
    • Learning in the presence of malicious errors
    • M. Kearns and M. Li. Learning in the presence of malicious errors. SIAM Journal on Computing, 22:807-837, 1993.
    • (1993) SIAM Journal on Computing , vol.22 , pp. 807-837
    • Kearns, M.1    Li, M.2
  • 18
    • 77955660961 scopus 로고    scopus 로고
    • Mining adversarial patterns via regularized loss minimization
    • October
    • W. Liu and S. Chawla. Mining adversarial patterns via regularized loss minimization. Mach. Learn., 81:69-83, October 2010.
    • (2010) Mach. Learn. , vol.81 , pp. 69-83
    • Liu, W.1    Chawla, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.