Titlebook: Computer Security – ESORICS 2023; 28th European Sympos Gene Tsudik,Mauro Conti,Georgios Smaragdakis Conference proceedings 2024 The Editor(

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Conference proceedings 202423, which took place in The Hague, The Netherlands, during September 25-29, 2023...The 93 full papers presented in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows:.Part I: Crypto...Part II: Network, web and internet; pri

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The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning However, machine learning models are susceptible to adversarial attacks, requiring the testing of model and product robustness. Meanwhile, attackers also seek to automate malware generation and evasion of antivirus systems, and defenders try to gain insight into their methods. This work proposes a

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Machine Learning for SAST: A Lightweight and Adaptable Approachr study funded by Germany’s Federal Office for Information Security (BSI). SAST describes the practice of applying static analysis techniques to program code on the premise of detecting security-critical software defects early during the development process. In the past, this was done by using rule-

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