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Side-Channel Based Disassembling of a RISC-V ASIC using Machine Learning

Side-Channel Based Disassembling of a RISC-V ASIC using Machine Learning

Supervisor(s): Marc Schink, Emanuele Strieder
Status: inprogress
Topic: Others
Author: Lukas Groß
Submission: 2022-05-16
Type of Thesis: Bachelorthesis
Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching

Description