There are 2 repositories under backdoor-defense topic.
A list of backdoor learning resources
A curated list of papers & resources on backdoor attacks and defenses in deep learning.
A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them
BackdoorSim: An Educational into Remote Administration Tools
Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
[ICLR2023] Distilling Cognitive Backdoor Patterns within an Image
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.
This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms." ASSET achieves state-of-the-art reliability in detecting poisoned samples in end-to-end supervised learning/ self-supervised learning/ transfer learning.
Implementation of "Beating Backdoor Attack at Its Own Game" (ICCV-23).
Defending Against Backdoor Attacks by Layer-wise Feature Analysis
Implementation of ICCV'23 paper on Multimodal Backdoor Defense Technique: TIJO (Trigger Inversion using Joint Optimization)
🪨️🚪️📖️ The official documentation source repository for the Doorcrete project.
This is a project used for detecting backdoors at different levels.
A compact toolbox for backdoor attacks and defenses.
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