ARTMAN is a workshop that brings together academic researchers and industrial practitioners from security & privacy and AI/ML domains, as well as application domains, to explore and discuss resilient and trustworthy machine learning-powered applications and systems. The workshop covers topics such as trust in intelligent systems, AI/ML robustness and security evaluation, adversarial machine learning, threat modeling and risk assessment, data-centric attacks and defenses, resilience by reaction, machine unlearning, and sustainable AI.
by 4th ARTMAN Workshop co-located with IEEE ACSAC
The 4th ARTMAN workshop co-located with IEEE ACSAC 2026, focusing on the resilience and trustworthiness of AI/ML-driven systems. The workshop will feature a keynote by Emiliano De Cristofaro (UC Riverside), and accepted papers will be published by IEEE Computer Society Conference Publishing Services (CPS) as a supplementary volume to the IEEE ACSAC 2026 proceedings.