tedbackdoordefense / tedLinks
☆19Updated last year
Alternatives and similar repositories for ted
Users that are interested in ted are comparing it to the libraries listed below
Sorting:
- ☆27Updated 3 years ago
- A toolbox for backdoor attacks.☆22Updated 2 years ago
- ☆26Updated 2 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆29Updated 4 years ago
- [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆26Updated 7 months ago
- Invisible Backdoor Attack with Sample-Specific Triggers☆103Updated 3 years ago
- Official Implementation for "Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models" (IE…☆25Updated 8 months ago
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆23Updated 2 years ago
- ☆26Updated last year
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- ☆20Updated 3 years ago
- [NDSS 2025] Official code for our paper "Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Wate…☆45Updated last year
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆18Updated 6 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 3 years ago
- Distribution Preserving Backdoor Attack in Self-supervised Learning☆20Updated last year
- ☆33Updated 3 years ago
- This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on …☆22Updated 4 years ago
- ☆18Updated 4 years ago
- ☆16Updated last year
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆61Updated 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.☆29Updated 2 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆45Updated 2 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆39Updated last year
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 5 months ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆31Updated 2 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆34Updated 2 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 5 years ago
- [AAAI 2024] Data-Free Hard-Label Robustness Stealing Attack☆15Updated last year
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆31Updated 3 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago