Titlebook: Computer Security – ESORICS 2024; 29th European Sympos Joaquin Garcia-Alfaro,Rafał Kozik,Sokratis Katsika Conference proceedings 2024 The E

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essential-fats

Fully Homomorphic Training and Inference on Binary Decision Tree and Random Forestrpasses the previous study by Akavia et al.’s by at least 3.7 times in the speed of inference. The study also expands to privacy-preserving random forests, with GPU acceleration ensuring feasibly efficient performance in both training and inference.

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Conference proceedings 2024from 535 submissions. They were organized in topical sections as follows:..Part I: Security and Machine Learning...Part II: Network, Web, Hardware and Cloud; Privacy and Personal Datat Protection...Part III: Software and Systems Security; Applied Cryptopgraphy...Part IV: Attacks and Defenses; Miscellaneous..

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https://doi.org/10.1007/978-3-031-25211-2 direct risk while driving. For instance, 18 apps could connect to open OBD dongles without requiring any authentication, accept arbitrary CAN commands as inputs from the (potentially malicious) user, and deliver the commands to the CAN bus without any validation. We discuss the possible countermeas