luluppang / BCULinks
Backdoor Cleansing with Unlabeled Data (CVPR 2023)
☆12Updated 2 years ago
Alternatives and similar repositories for BCU
Users that are interested in BCU 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…☆24Updated 2 years ago
- ☆10Updated 3 years ago
- ☆15Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated 3 months ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 3 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆34Updated 3 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆47Updated 2 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Updated 4 years ago
- Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons☆15Updated 3 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆49Updated last year
- ☆13Updated last year
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆46Updated 3 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- Code for identifying natural backdoors in existing image datasets.☆15Updated 3 years ago
- ☆45Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆26Updated 5 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆29Updated 4 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- ☆28Updated last year
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated last year
- Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples☆11Updated last year
- Data-Efficient Backdoor Attacks☆20Updated 3 years ago
- ☆27Updated 3 years ago
- ☆59Updated 3 years ago
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆76Updated 2 years ago
- Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023☆95Updated 4 months ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆23Updated last year