Explainable AI for Cyber Physical Systems Issues and Challenges

AI in CybersecurityПодробнее

Cyber Physical SystemПодробнее

INCYBER UNITE - For a Trusted AI: Role and responsibility of States and CreatorsПодробнее

Cyber-physical system security: Exploiting the physics of sensors to undermine AI-based decisionsПодробнее

Explainable AI for Cybersecurity at Conference on Deployable AI 2021 | Persistent SystemsПодробнее

Improving Resilience and Trust in AI Driven Cyber Physical Systems - Apurva NarayanПодробнее

AMPERE - Overcoming the challenges of developing traditional cyber-physical systemsПодробнее

Improving the safety of cyber-physical systems | André Platzer is a Humboldt Professor for AIПодробнее

Cyber (Physical) Systems and Machine Learning: Research ChallengesПодробнее

Context-Aware Safety Monitoring in Medical Cyber-Physical Systems – Homa AlemzadehПодробнее

Securing Cyber-Physical Systems | The Security Summit at the 2023 Fortinet ChampionshipПодробнее

AI-Powered System-Scientific Defense for High-Confidence Cyber-Physical SystemsПодробнее

WSU - OSU Webinar: Artificial Intelligence, Cyber-Physical Systems and Robotics for AgricultureПодробнее

Intelligent computing approaches in contemporary cyber-physical systemsПодробнее

Ethical AI: Ensuring Safety in Cyber-Physical Systems & AI InnovationsПодробнее

Do We Really Want Explainable AI? - Edward Ashford Lee (EECS, UC Berkeley)Подробнее

LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AIПодробнее

Explainable AI: Challenges and Opportunities in Developing Transparent Machine Learning ModelsПодробнее

Autonomy Talks - Andreas Malikopoulos: Separation of Learning and Control for Cyber-Physical SystemsПодробнее