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Evil from Within: Machine Learning Backdoors through Hardware Trojans
In this paper, we challenge this assumption and introduce a backdoor attack that completely resides within a common hardware accelerator for machine learning.
Design Automation for Obfuscated Circuits with Multiple Viable Functions
However, if an adversary has pre-existing knowledge about the set of functions that are viable for an application, random camouflaging of gates will not obfuscate the function well.
Cryptography and Security
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