Unispac / Circumventing-Backdoor-Defenses
Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
☆41Updated 2 years ago
Alternatives and similar repositories for Circumventing-Backdoor-Defenses
Users that are interested in Circumventing-Backdoor-Defenses are comparing it to the libraries listed below
Sorting:
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆25Updated last year
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆35Updated 6 months ago
- ☆27Updated 2 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
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆30Updated 2 years ago
- ☆24Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 5 months ago
- ☆19Updated 2 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 4 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆30Updated 3 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆57Updated 2 years ago
- ☆81Updated 3 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆30Updated 4 years ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 6 years ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆23Updated last year
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ☆19Updated 3 years ago
- ☆31Updated 3 years ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆30Updated last month
- Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders☆32Updated last year
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 8 months ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago