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Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples.

, , , , , , и . NeurIPS, (2022)

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