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A Survey on Reinforcement Learning Security with Application to Autonomous Driving., , , , , , , and . CoRR, (2022)The Threat of Offensive AI to Organizations., , , , , , , , , and 1 other author(s). Comput. Secur., (2023)Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving., , , , , , and . ICMLC, page 57-62. IEEE, (2023)Robust Machine Learning for Malware Detection over Time., , , and . ITASEC, volume 3260 of CEUR Workshop Proceedings, page 169-180. CEUR-WS.org, (2022)Optimization and deployment of CNNs at the edge: the ALOHA experience., , , , , , , , , and 8 other author(s). CF, page 326-332. ACM, (2019)Why adversarial reprogramming works, when it fails, and how to tell the difference., , , , , , , and . Inf. Sci., (2023)Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes., , , and . CoRR, (2021)Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors., , , , , and . AISec@CCS, page 233-244. ACM, (2023)AI Security and Safety: The PRALab Research Experience., , , , , , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 324-328. CEUR-WS.org, (2023)Explaining Machine Learning DGA Detectors from DNS Traffic Data., , , and . ITASEC, volume 3260 of CEUR Workshop Proceedings, page 150-168. CEUR-WS.org, (2022)