Training Description
- Focuses on the intersection of intelligent computing and secure computing
- Explores AI-driven systems in security-critical environments
- Covers topics such as adversarial machine learning and privacy-preserving model training
- Targets academic researchers, industry professionals, and security architects
- Promotes interdisciplinary collaboration in AI, cryptography, and cybersecurity
The 1st ACNS Workshop on Intelligent and Secure Computing (ACNS-ISC 2026) is an academic event dedicated to advancing research at the crossroads of artificial intelligence and secure computing. Held in conjunction with the ACNS 2026 conference, this workshop brings together experts and practitioners to address the pressing need for trustworthy, effective, and secure AI-driven systems. As intelligent technologies become increasingly integrated into security-critical environments, the workshop provides a platform for sharing innovative solutions and fostering collaboration across disciplines.
Core Themes and Topics
The workshop emphasizes research on the security and robustness of intelligent systems. Key topics include machine learning–based threat detection, adversarial machine learning, and privacy-preserving model training. Additional areas of focus are secure federated learning, cryptographic mechanisms for intelligent systems, and the security of emerging infrastructures such as IoT, cyber-physical systems, and cloud–edge platforms.
Participants are encouraged to contribute work that addresses fundamental challenges in designing secure, privacy-preserving, and robust intelligent systems. The event aims to foster interdisciplinary dialogue, bringing together perspectives from AI, cryptography, and cybersecurity to develop effective and trustworthy models and architectures.
Target Audience and Community
The workshop is tailored for academic researchers, graduate students, and industry professionals working in AI, cybersecurity, and cryptography. Security architects and technical leads from organizations deploying AI in critical environments will also find the event highly relevant. Departments such as R&D, Information Security, and AI/ML, as well as organizations including universities, research institutes, technology companies, and security vendors, are represented among the attendees.
By facilitating networking and academic collaboration, the workshop supports education, thought leadership, and community building within the secure AI research community. It also provides opportunities for lead generation and recruitment, particularly for those seeking to advance the state of secure and privacy-preserving intelligent computing.
Format and Experience
The ACNS-ISC 2026 workshop is conducted in person, co-located with the ACNS 2026 conference in Stony Brook, New York. The format is research-focused, featuring paper submissions, presentations, and post-proceedings publication. Attendees benefit from a workshop-led environment that encourages the exchange of ideas and the development of new collaborations in the field of secure artificial intelligence.

