AI-Assisted Security Testing Techniques for Intelligent Systems
Intelligent systems based on deep learning technologies have been widely deployed across various economic and social sectors.However,their security concerns have become increasingly prominent.Security testing has emerged as a crucial ap-proach to identify potential security vulnerabilities in intelligent systems.This study first analyzes and summarizes the security is-sues and the testing challenges of intelligent systems based on current security testing requirements.Subsequently,it proposes an AI-assisted security testing framework for intelligent systems,focusing on two key processes in security testing:benchmark con-struction and test case generation,and compares and summarizes relevant research in these areas.Finally,based on the review of existing research,this study also discusses and provides insights into future research directions for AI-assisted security testing of intelligent systems.
万方数据
维普
