关键词: 对抗攻击, 对抗样本, 对抗防御, 专利, 深度学习

Abstract:

Given that intelligent models are vulnerable to adversarial sample attacks, which pose security risks such as misidentification and functional failure, their safe practical application is somewhat constrained. This paper focuses on patented technologies in the fields of adversarial attacks and defenses, reviews domestic and overseas related patent achievements, categorizes and summarizes key adversarial sample generation techniques and core defense methods against adversarial samples, and analyzes relevant patent layout characteristics and technological evolution trends, aiming to provide references for technological research, patent strategy, and security system development in related fields.

Key words: adversarial attack, adversarial sample, adversarial defense, patent, deep learning