Foundations and Practice of Security, Kartoniert / Broschiert

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.- Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace. .- Another Walk for Monchi. .- An Innovative DSSE Framework: Ensuring Data Privacy and Query Verification in Untrusted Cloud Environments. .- Privacy-Preserving Machine Learning Inference for Intrusion Detection. .- Priv-IoT: Privacy-preserving Machine Learning in IoT Utilizing TEE and Lightweight Ciphers. .- Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats. .- LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. .- Intelligent Green Efficiency for Intrusion Detection. .- A Privacy-Preserving Behavioral Authentication System. .- Automated Exploration of Optimal Neural Network Structures for Deepfake Detection. .- An Empirical Study of Black-box based Membership Inference Attacks on a Real-World Dataset. .- New trends of machine leaning and AI applied to cybersecurity. .- ModelForge: Using GenAI to Improve the Development of Security Protocols. .- Detecting Energy Attacks in the Battery-less Internet of Things . .- Is Expert-Labeled Data Worth the Cost? Exploring Active and Semi-Supervised Learning Across Imbalance Scenarios in Financial Crime Detection. .- ExploitabilityBirthMark: An Early Predictor of the Likelihood of Exploitation.