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· 제목 : Adversarial Machine Learning (Hardcover) 
· 분류 : 외국도서 > 컴퓨터 > 보안 > 일반
· ISBN : 9781107043466
· 쪽수 : 338쪽
· 분류 : 외국도서 > 컴퓨터 > 보안 > 일반
· ISBN : 9781107043466
· 쪽수 : 338쪽
목차
Part I. Overview of Adversarial Machine Learning: 1. Introduction; 2. Background and notation; 3. A framework for secure learning; Part II. Causative Attacks on Machine Learning: 4. Attacking a hypersphere learner; 5. Availability attack case study: SpamBayes; 6. Integrity attack case study: PCA detector; Part III. Exploratory Attacks on Machine Learning: 7. Privacy-preserving mechanisms for SVM learning; 8. Near-optimal evasion of classifiers; Part IV. Future Directions in Adversarial Machine Learning: 9. Adversarial machine learning challenges.
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