Now showing items 1-3 of 3
Mitigating Cyberattack with Machine Learning-Based Feature Space Transforms
With the increase in attacks on software systems, there is a need for a new approach in software defense. In this work, we explore machine learning-based approaches for the detection and mitigation of attacks. A machine ...
Hardware-Based Workload Forensics and Malware Detection in Modern Microprocessors
Traditional computer forensics and/or malware detection methods are generally implemented at the operating system (OS) or the hypervisor level, which benefits from abundant software semantics and implementation flexibility. ...
Using Machine Learning Techniques for Prediction and Data Generation with Applications to Data Privacy
Increasingly, machine learning (ML) applications are developed and become an integral part of many real-world applications. Especially, ML techniques are heavily used in research and industry to help make effective ...