Security and Privacy in AI-Powered Systems

Dear Colleagues,

Artificial intelligence (AI) is transforming industries by driving innovation in areas such as healthcare, finance, and smart cities. However, as AI-powered systems become integral to critical infrastructure and everyday life, they bring significant security and privacy challenges. These systems are vulnerable to adversarial attacks, data breaches, and the misuse of sensitive information, raising concerns about their trustworthiness and ethical use.

This Special Issue seeks to explore innovative solutions for enhancing the security and privacy of AI-powered systems. Topics of interest include security vulnerabilities, privacy-preserving AI techniques, adversarial machine learning defenses, secure deployment practices, and legal or ethical considerations. We aim to enhance interdisciplinary discussions that address both technical and societal dimensions, contributing to the development of robust, privacy-aware AI systems.

Key topics of interest include, but are not limited to, the following:

• Security vulnerabilities in AI algorithms and models;
• Privacy-preserving techniques in AI-powered data analytics;
• Secure and trustworthy AI model deployment;
• Adversarial machine learning and defenses;
• Ethical and legal considerations in AI security and privacy;
• Real-world case studies of securing AI-powered applications.

Dr. Bo Liu
Prof. Dr. Tianqing Zhu
Guest Editors

Manuscript Submission Information

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