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17 search results found

Backdoor Learning Resources ⭐ 888

A list of backdoor learning resources

Trojanzoo ⭐ 260

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Awesome Backdoor In Deep Learning ⭐ 73

A curated list of papers & resources on backdoor attacks and defenses in deep learning.

Backdoor ⭐ 66

Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

Warping Based_backdoor_attack Release ⭐ 42

WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)

Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

Rickrolling The Artist ⭐ 35

Source code for our ICCV 2023 paper "Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models".

Anp_backdoor ⭐ 31

Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"

Cognitivedistillation ⭐ 27

[ICLR2023] Distilling Cognitive Backdoor Patterns within an Image

Input Aware Backdoor Attack Release ⭐ 27

Input-aware Dynamic Backdoor Attack (NeurIPS 2020)

This is the repository for DFST paper Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification.

Frequency Backdoor ⭐ 18

ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Repo. explores how we can use these artifacts to develop stronger backdoor defenses and attacks.

Neural Network Backdoors ⭐ 11

Implementations and demo of a regular Backdoor and a Latent backdoor attack on Deep Neural Networks.

This is an implementation demo of the IJCAI 2022 paper [Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation](https://arxiv.org/abs/2204.09975) in PyTorch.

Defending Against Backdoors With Robust Learning Rate ⭐ 7

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

Fine Pruning Defense ⭐ 7

Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)

Backdoor Attacks for Remote Sensing Data with Wavelet Transform

Non Adversarial_backdoor ⭐ 6

Implementation of "Beating Backdoor Attack at Its Own Game" (ICCV-23).

Paper Reading Dl Security ⭐ 5

简单记录一下读过的DL-Security相关比较有意思的paper，方便以后要用的时候找到

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