Gábor Fuchs
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Gábor Fuchs was born in 2000 in Budapest, Hungary. He earned both his BSc and MSc degrees in Computer Engineering in 2022 and 2025 from the Budapest University of Technology and Economics (BME). He has been involved with the Laboratory of Cryptography and System Security (CrySyS Lab) since 2022, where he is a PhD student since 2025.
His research focuses on efficient methods of measuring binary similarity that are also robust against attacks aiming to mislead them. This work, supported by Roland Nagy and Dr. Levente Buttyán, began in 2022. They designed a targeted attack against the TLSH similarity digest scheme, which, among breaking the security of other applications of the scheme, enabled fast automatic modification of malware samples without changing their behavior but making them evade detection by similarity based techniques relying on TLSH.
