2026 International Symposium on AI Security and Privacy

The 2026 International Symposium on AI Security and Privacy in Chengdu brings together researchers at the critical intersection of AI capability and security risk, addressing vulnerabilities inherent in modern machine learning systems and the privacy challenges they raise. Topics include adversarial robustness of deep neural networks, security of foundation models and large language models, privacy-preserving machine learning, confidential computing, and the security of multimodal AI systems. As AI systems become increasingly pervasive, the symposium addresses questions of fundamental importance to the trustworthy deployment of AI in sensitive domains.

adversarial machine learning foundation model & llm security ai privacy & confidential computing multi modal ai security