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This paper addresses these challenges by introducing a Meta Neural Trojan Detection (MNTD) pipeline that does not make assumptions on the attack strategies and only needs black-box access to models.
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In the developed approach, we compile networks of Artificial Neural Networks, called Meta Neural Networks, to hardware implementations using a new synchronous semantics for their execution.
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