☆50Aug 30, 2024Updated last year
Alternatives and similar repositories for Refool
Users that are interested in Refool are comparing it to the libraries listed below
Sorting:
- ☆19Mar 26, 2022Updated 3 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆38Jul 22, 2024Updated last year
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆128Jan 18, 2022Updated 4 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆29Feb 8, 2021Updated 5 years ago
- ☆11Jan 25, 2022Updated 4 years ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆136Nov 11, 2024Updated last year
- ☆83Aug 3, 2021Updated 4 years ago
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆196Sep 26, 2022Updated 3 years ago
- ☆88Nov 14, 2023Updated 2 years ago
- AdvDoor: Adversarial Backdoor Attack of Deep Learning System☆32Nov 5, 2024Updated last year
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆302Aug 25, 2025Updated 6 months ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆28Apr 1, 2021Updated 4 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆62Nov 12, 2024Updated last year
- Codes for the ICLR 2022 paper: Trigger Hunting with a Topological Prior for Trojan Detection☆11Sep 19, 2023Updated 2 years ago
- This is the documentation of the Tensorflow/Keras implementation of Latent Backdoor Attacks. Please see the paper for details Latent Back…☆22Sep 8, 2021Updated 4 years ago
- Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper☆21Jun 3, 2020Updated 5 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 years ago
- This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Secur…☆11Aug 24, 2022Updated 3 years ago
- A list of backdoor learning resources☆1,163Jul 31, 2024Updated last year
- ☆20May 6, 2022Updated 3 years ago
- ☆69Feb 17, 2024Updated 2 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆132Oct 24, 2023Updated 2 years ago
- The open-sourced Python toolbox for backdoor attacks and defenses.☆649Sep 27, 2025Updated 5 months ago
- ☆18Jun 15, 2021Updated 4 years ago
- Trojan Attack on Neural Network☆190Mar 25, 2022Updated 3 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Apr 29, 2020Updated 5 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Nov 22, 2020Updated 5 years ago
- ☆26Jan 25, 2019Updated 7 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆30Jul 11, 2023Updated 2 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆379Feb 5, 2023Updated 3 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆47Feb 28, 2023Updated 3 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Jun 1, 2022Updated 3 years ago
- [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification☆29Dec 31, 2024Updated last year
- Invisible Backdoor Attack with Sample-Specific Triggers☆106Aug 2, 2022Updated 3 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Apr 5, 2022Updated 3 years ago
- ☆23Aug 24, 2020Updated 5 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆84Jul 20, 2023Updated 2 years ago