TY  - BOOK
AU  - Chen,Pin-Yu
AU  - Hsieh,Cho-Jui
TI  - Adversarial robustness for machine learning
SN  - 9780128240205
AV  - Q325.5 .C44 2023
U1  - 006.31 23
PY  - 2023///
CY  - London, United Kingdom, San Diego, California
PB  - Academic Press, an imprint of Elsevier
KW  - Machine learning
KW  - Robust optimization
KW  - fast
N1  - Includes bibliographical references and index; Part 1. Preliminaries -- Background and motivation -- Part 2. Adversarial attack -- White-box adversarial attacks -- Black-box adversarial attacks -- Physical adversarial attacks -- Training-time adversarial attacks -- Adversarial attacks beyond image classification -- Part 3. Robustness verification -- Overview of neural network verification -- Incomplete neural network verification -- Complete neural network verification -- Verification against semantic perturbations -- Part 4. Adversarial defense -- Overview of adversarial defense -- Adversarial training -- Randomization-based defense -- Certified robustness training -- Adversary detection -- Adversarial robustness of beyond neural network models -- Adversarial robustness in meta-learning and contrastive learning -- Part 5. Applications beyond attack and defense -- Model reprogramming -- Contrastive explanations -- Model watermarking and fingerprinting -- Data augmentation for unsupervised machine learning
ER  -