YuxinWenRick / canary-in-a-coalmine
☆32Updated last year
Alternatives and similar repositories for canary-in-a-coalmine:
Users that are interested in canary-in-a-coalmine are comparing it to the libraries listed below
- ☆23Updated 3 years ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆36Updated last year
- ☆48Updated 3 years ago
- ☆64Updated 11 months ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆32Updated 4 months ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆25Updated 2 months ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆18Updated 4 months ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆14Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆32Updated 2 months ago
- ☆43Updated 5 months ago
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆28Updated this week
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆23Updated 4 years ago
- ☆11Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆18Updated 2 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated last year
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆29Updated 2 years ago
- ☆11Updated last year
- Pytorch ImageNet1k Loader with Bounding Boxes.☆12Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆29Updated last year
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 2 years ago
- ☆41Updated last year
- Official repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization☆12Updated 10 months ago
- Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021☆20Updated 3 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆67Updated 10 months ago
- ☆32Updated 4 months ago
- The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?☆8Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆54Updated 2 years ago