Jiachen-T-Wang / mi-defense
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization (AAAI 2021)
☆6Updated last year
Alternatives and similar repositories for mi-defense:
Users that are interested in mi-defense are comparing it to the libraries listed below
- ☆41Updated last year
- [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…☆40Updated 6 months ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆24Updated last year
- ☆24Updated 2 years ago
- [CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks☆38Updated last year
- ☆25Updated 3 years ago
- ☆19Updated 5 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆54Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- [AAAI 2023] Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network☆25Updated 4 months ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆32Updated 5 months ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆27Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years 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 3 months ago
- Defending against Model Stealing via Verifying Embedded External Features☆35Updated 3 years ago
- ☆19Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆57Updated last year
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆31Updated 3 years ago
- ☆68Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆20Updated 2 years ago
- ☆24Updated last year
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆29Updated 2 years ago
- Implementation of badnets on CIFAR10 and MNIST☆9Updated 3 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- Code for "Label-Consistent Backdoor Attacks"☆52Updated 4 years ago