May 30, 2018 · We then evaluate fine-pruning, a combination of pruning and fine-tuning, and show that it successfully weakens or even eliminates the backdoors, ...
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Sep 7, 2018 · The pruning defense reduces the size of the backdoored network by eliminating neurons that are dormant on clean inputs, disabling backdoor ...
Fine-pruning is evaluated, a combination of pruning and fine-tuning, and it is shown that it successfully weakens or even eliminates the backdoors, i.e., ...
This is the source code for the paper: Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018) Kang Liu, Brendan Dolan-Gavitt ...
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Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. Background: Deep Neural. Nets (DNNs). • A DNN is a feed-forward network with L ...
This repository implements a pruning defense on a backdoored face recognition nueral network as described in this paper.
Defending Against Backdooring Attacks on Deep Neural Networks ...
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Sep 10, 2018 · Fine-pruning is a defense strategy against poisoning attacks that combines fine-tuning with pruning, as described by Liu et al. [52] . It ...
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Apr 15, 2024 · Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks ... STRIP: a defence against trojan attacks on deep neural networks.
Defending Against Backdooring Attacks on Deep Neural Networks.
dblp.org › rec › corr › abs-1805-12185
Aug 13, 2018 · Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg: Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks.