Kai Chen1,*, Haoqi Zhu2, Leiming Yan1, Jinwei Wang1
Journal on Big Data, Vol.2, No.2, pp. 71-84, 2020, DOI:10.32604/jbd.2020.012294
Abstract Adversarial examples are hot topics in the field of security in deep
learning. The feature, generation methods, attack and defense methods of the
adversarial examples are focuses of the current research on adversarial examples.
This article explains the key technologies and theories of adversarial examples
from the concept of adversarial examples, the occurrences of the adversarial
examples, the attacking methods of adversarial examples. This article lists the
possible reasons for the adversarial examples. This article also analyzes several
typical generation methods of adversarial examples in detail: Limited-memory
BFGS (L-BFGS), Fast Gradient Sign Method (FGSM), Basic Iterative Method
(BIM), Iterative Least-likely… More >
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