tedbackdoordefense / ted
☆15Updated last year
Alternatives and similar repositories for ted
Users that are interested in ted are comparing it to the libraries listed below
Sorting:
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆23Updated last year
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- ☆19Updated 2 years ago
- Distribution Preserving Backdoor Attack in Self-supervised Learning☆16Updated last year
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 3 years ago
- ☆24Updated 2 years ago
- Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing☆12Updated 4 years ago
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆44Updated 3 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆25Updated last year
- ☆27Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- [CVPR 2024] "Data Poisoning based Backdoor Attacks to Contrastive Learning": official code implementation.☆15Updated 3 months ago
- ☆23Updated 10 months ago
- [IEEE S&P 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆23Updated 3 weeks ago
- ☆17Updated 3 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆36Updated last year
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Code and full version of the paper "Hijacking Attacks against Neural Network by Analyzing Training Data"☆12Updated last year
- This is the source code for MEA-Defender. Our paper is accepted by the IEEE Symposium on Security and Privacy (S&P) 2024.☆22Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 5 months ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 6 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆30Updated 3 years ago
- Implementation of IEEE TNNLS 2023 and Elsevier PR 2023 papers on backdoor watermarking for deep classification models with unambiguity an…☆16Updated last year
- An Embarrassingly Simple Backdoor Attack on Self-supervised Learning☆16Updated last year
- ☆31Updated 3 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆41Updated 2 years ago
- ☆19Updated 3 years ago
- Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons☆14Updated 2 years ago
- A toolbox for backdoor attacks.☆21Updated 2 years ago