AndrewZhou924 / Awesome-model-inversion-attack
[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
☆148Updated 3 weeks ago
Alternatives and similar repositories for Awesome-model-inversion-attack:
Users that are interested in Awesome-model-inversion-attack are comparing it to the libraries listed below
- Code for ML Doctor☆85Updated 5 months ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆24Updated last year
- ☆306Updated last month
- ☆24Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆58Updated 3 months ago
- ☆25Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆68Updated 11 months ago
- [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…☆39Updated 5 months ago
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆37Updated 3 weeks ago
- ☆41Updated last year
- A curated list of papers & resources on backdoor attacks and defenses in deep learning.☆192Updated 10 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆11Updated 9 months ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆47Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆32Updated last year
- Implementations of data poisoning attacks against neural networks and related defenses.☆73Updated 6 months ago
- A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)☆219Updated 2 weeks ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆51Updated last month
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆54Updated 2 years ago
- ☆67Updated 2 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆29Updated 3 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆82Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆104Updated 2 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆125Updated 9 months ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆32Updated last year
- ☆24Updated 2 years ago
- 复现了下Neural Cleanse这篇论文,真的是简 单而有效,发在了okaland☆30Updated 3 years ago