Quantitative estimation of side-channel leaks with neural networks

Introduction to the special issue of the 19th International Conference on Runtime Verification

“…The article "Quantitative Estimation of Side Channel Leaks with Neural Networks" by Saeid Tizpaz-Niari, Pavoľ Cerný, Sriram Sankaranarayanan, and Ashutosh Trivedi presents a data-driven dynamic analysis for detecting and quantifying information leaks via side channels [6]. Confidentiality is a critical property for software that handles sensitive data such as financial or medical information.…”