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IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices.

, , and . CD-MAKE, volume 10410 of Lecture Notes in Computer Science, page 137-154. Springer, (2017)

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Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples., , , , , , , and . CoRR, (2021)IntelliAV: Building an Effective On-Device Android Malware Detector., , and . CoRR, (2018)Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples., , , , , , and . NeurIPS, (2022)secml: A Python Library for Secure and Explainable Machine Learning., , , , and . CoRR, (2019)IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices., , and . CD-MAKE, volume 10410 of Lecture Notes in Computer Science, page 137-154. Springer, (2017)AI Security and Safety: The PRALab Research Experience., , , , , , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 324-328. CEUR-WS.org, (2023)Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving., , , , , , and . ICMLC, page 57-62. IEEE, (2023)FADER: Fast adversarial example rejection., , , , and . Neurocomputing, (2022)Explainability-based Debugging of Machine Learning for Vulnerability Discovery., , and . ARES, page 113:1-113:8. ACM, (2022)