A list of backdoor learning resources
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Updated
Jul 31, 2024
A list of backdoor learning resources
A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)
A curated list of papers & resources on backdoor attacks and defenses in deep learning.
This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.
BackdoorSim: An Educational into Remote Administration Tools
Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
Fast integration of backdoor attacks in machine learning and federated learning.
[ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
[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.
[IEEE S&P 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks
Backdoor Stuff in AI/ ML domain
[Findings of EMNLP 2022] Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
Implementation of "Beating Backdoor Attack at Its Own Game" (ICCV-23).
[ECCV24] T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
An unofficial implementation of the detector cleanse introduced in the paper BadDet: Backdoor Attacks on Object Detection.
[ECCV'24] Official Implementation of "Augmented Neural Fine-Tuning for Efficient Backdoor Purification"
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
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