LAUSR

Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization

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0 Published in 2021 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2020.3021407

Abstract: Deep neural networks (DNNs) have been proven vulnerable to backdoor attacks, where hidden features (patterns) trained to a normal model, which is only activated by some specific input (called triggers), trick the model into producing… read more here.

Keywords: deep neural; neural networks; backdoor attacks; invisible backdoor ... See more keywords