How to Train Your Hardware Trojan Detector скачать в хорошем качестве

How to Train Your Hardware Trojan Detector

Abstract: This talk will deep dive into the world of hardware Trojans. We will discuss how they are inserted, how they function and how they might be detected. In particular, we will focus on the feasibility in real life designs, and whether current detection methods can really guarantee security. Reverse Engineering methods, both as an entry point for the insertion of Trojans, and as methods to detect them, will be discussed in detail. Bio Johanna Baehr: Johanna Baehr received her M.Sc degree in Electrical and Computer Engineering from the Technical University of Munich in 2016, and has since been working as a research assistant and Ph.D. candidate at the Chair of Security in Information Technology under the supervision of Prof. Georg Sigl. Her research interests include hardware reverse engineering, logic locking, hardware trojans and IC trust. Bio Alexander Hepp: Alexander Hepp received M.Sc in electrical and computer engineering from the Technical University of Munich in 2019. Currently he is a research assistant and doctoral candidate at the Chair of Security in Information Technology under the guidance of Prof. Georg Sigl. His current research focuses on silicon hardware reverse engineering and the realistic insertion and detection of hardware Trojans through machine learning.