Training Description
Key Takeaways
- Academic workshop focused on artificial intelligence and hardware security
- Brings together researchers and industry professionals from AI and security domains
- Covers topics such as side-channel attacks, trustworthy manufacturing, and AI-based cryptanalysis
- Emphasizes collaboration, knowledge sharing, and advancing state-of-the-art research
- Held in conjunction with ACNS 2026 in Stony Brook, New York
The 7th Workshop on Artificial Intelligence in Hardware Security (AIHWS) is a specialized academic and industry event dedicated to the intersection of artificial intelligence and hardware security. Taking place alongside ACNS 2026 in Stony Brook, New York, this workshop aims to unite experts and practitioners to discuss the latest advancements, challenges, and applications in the field. The event serves as a platform for fostering collaboration and sharing innovative research that addresses the unique challenges of integrating AI with hardware security.
Core Themes and Topics
AIHWS explores a wide range of subjects at the forefront of AI-driven hardware security. Key topics include side-channel attacks and their countermeasures, trustworthy manufacturing and testing of secure devices, and methodologies for validating physical security. The workshop also delves into reconfigurable devices for security, hardware Trojans, fault injection attacks, and the use of Physical Unclonable Functions (PUFs).
Additional areas of focus are the security of AI systems themselves, AI-assisted design cycles, and AI-based cryptanalysis. These discussions are designed to address both theoretical and practical aspects, ensuring relevance to both academic and industry audiences.
Target Audience and Community
The workshop is tailored for academic researchers, graduate students, and industry professionals working in AI, cybersecurity, and hardware security. Security analysts, cryptographers, and technical leads from technology, semiconductor, and security sectors will also find the event highly relevant. Attendees typically include professors, PhDs, engineers, and R&D professionals seeking to advance their understanding and contribute to the field.
AIHWS encourages networking and collaboration between academia and industry, supporting the development of new research partnerships and recruitment opportunities. The event’s format includes paper submissions, presentations, and interactive discussions, all reviewed through a double-anonymized process to ensure quality and fairness.
Event Format and Experience
Held in-person in Stony Brook, New York, the workshop follows an academic conference format in parallel with ACNS 2026. Participants engage in presentations and discussions that highlight the latest research and practical solutions in AI and hardware security. Accepted papers are published in Springer’s Lecture Notes in Computer Science (LNCS) series, providing lasting visibility for contributors’ work.
The event is positioned as a leading forum for advancing the interplay between artificial intelligence and hardware security, aiming to improve security in a more automated and explainable way. By connecting researchers and professionals from both domains, AIHWS aspires to push the boundaries of this rapidly evolving field.