Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 19th International C Lorenzo Cavallaro,Daniel Gruss,Giorgio Giacinto Con

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,Establishing the?Contaminating Effect of?Metadata Feature Inclusion in?Machine-Learned Network Intrbe removed prior to training. Unfortunately many published articles include (at least) one such metadata feature in their models, namely destination port. In this article, it is shown experimentally that this feature acts as a prime target for shortcut learning. When used as the only predictor, dest

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,VANDALIR: Vulnerability Analyses Based on?Datalog and?LLVM-IR,ive regarding both development time and runtime performance. During the last years, domain specific languages like Datalog have gained popularity as they simplify the development process of analyses and rule sets dramatically. Similarly, intermediate representations like LLVM-IR are used to facilita

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,Branch Different - Spectre Attacks on?Apple Silicon,ocuses on .86 CPUs, with only very few insights on ARM CPUs, despite their huge market share. In this paper, we focus on the ARMv8-based Apple CPUs and demonstrate a reliable Spectre attack. For this, we solve several challenges specific to Apple CPUs and their operating system. We systematically ev

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