ARTMAN '23: proceedings of the 2023 Workshop on recent advances in resilient and trustworthy ML systems in autonomous networks - Archive ouverte HAL Access content directly
Proceedings Year : 2023

ARTMAN '23: proceedings of the 2023 Workshop on recent advances in resilient and trustworthy ML systems in autonomous networks

Abstract

It is our great pleasure to welcome you to the first installment of the Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks (ARTMAN), colocated with ACM CCS 2023 in Copenhagen. Thought as a forum to enable the gathering of several research communities covering topics as diverse as cybersecurity, safety, autonomous networking, or machine learning, ARTMAN seeks to push forward the discussion and collaboration between attendees, including both researchers and practitioners. The mission of the symposium is to collectively explore and discuss the topics about resilient and trustworthy autonomous networks, for academic researchers to share their views, experiences, and lessons learned, as well as for industrial practitioners to provide their insights and perspectives. ARTMAN gives researchers and practitioners a unique opportunity to collaboratively close the gap between the actual industry concerns with respect to the resilience and trust of ML systems, and the abundant academic research corpus on adversarial machine learning, in particular for autonomous networks.
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hal-04325343 , version 1 (05-12-2023)

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Gregory Blanc, Takeshi Takahashi, Zonghua Zhang. ARTMAN '23: proceedings of the 2023 Workshop on recent advances in resilient and trustworthy ML systems in autonomous networks. ACM, 2023, 979-8-4007-0265-5. ⟨10.1145/3605772⟩. ⟨hal-04325343⟩
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