This invention relates to the field of
artificial intelligence security technology, specifically disclosing an AI security flaw detection
system based on deep analysis and adversarial testing. The
system includes a data preprocessing module, a deep analysis module, an adversarial testing module, a result evaluation module, a
report generation module, and a central control module. The data preprocessing module communicates with the deep analysis module via a high-speed data
bus. The deep analysis module communicates bidirectionally with the adversarial testing module via dual
gigabit Ethernet. The adversarial testing module is connected to the result evaluation module via an
InfiniBand network. The result evaluation module communicates with the
report generation module via an HTTPS secure connection. The central control module is connected to each module via a CANFD
control bus and a TSN time-sensitive data
bus. Therefore, this invention, through the collaborative approach of deep analysis and targeted adversarial testing, can improve the accuracy of detecting security flaws in AI models and reduce the false negative rate. It is applicable to fields such as finance and healthcare, providing strong assurance for the reliable operation of
AI systems.