A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
☆192Sep 23, 2025Updated 5 months ago
Alternatives and similar repositories for Model-Inversion-Attack-ToolBox
Users that are interested in Model-Inversion-Attack-ToolBox are comparing it to the libraries listed below
Sorting:
- [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.☆52Jul 13, 2024Updated last year
- [ECCV-2024 oral] Source code for our paper "A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion At…☆25Sep 22, 2024Updated last year
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆217May 30, 2025Updated 9 months ago
- [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…☆46Jul 18, 2025Updated 8 months ago
- [AAAI 2023] Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network☆31Oct 15, 2024Updated last year
- ☆46Sep 24, 2023Updated 2 years ago
- [ECCV 2024] "Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment"☆15Mar 12, 2025Updated last year
- [CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks☆43Nov 12, 2023Updated 2 years ago
- ☆13Feb 21, 2025Updated last year
- ☆14Feb 17, 2025Updated last year
- Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021☆22Dec 10, 2021Updated 4 years ago
- Official code of the paper "A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning".☆15Sep 11, 2024Updated last year
- ☆32May 2, 2021Updated 4 years ago
- This is a PyTorch implementation of the paper "Reinforcement Learning-Based Black-Box Model Inversion Attacks" accepted by CVPR 2023.☆40May 4, 2023Updated 2 years ago
- The code for the paper "Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning" (CVPR'25).☆15Sep 25, 2025Updated 5 months ago
- ☆13Apr 13, 2025Updated 11 months ago
- ☆12Nov 10, 2020Updated 5 years ago
- Machine Learning & Security Seminar @Purdue University☆25May 9, 2023Updated 2 years ago
- Code for NDSS 2022 paper "MIRROR: Model Inversion for Deep Learning Network with High Fidelity"☆27May 9, 2023Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆66Oct 4, 2024Updated last year
- The code for the paper "Efficient Self-Supervised Video Hashing with Selective State Spaces" (AAAI'25).☆22Aug 2, 2025Updated 7 months ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Oct 30, 2023Updated 2 years ago
- The code for AAAI2023 (Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization)☆13Dec 24, 2022Updated 3 years ago
- Dataset of 475000 faces from 530 faces (50x50 color) from facescrub☆19Aug 30, 2019Updated 6 years ago
- The official repository of 'Unnatural Language Are Not Bugs but Features for LLMs'☆24May 20, 2025Updated 10 months ago
- ☆14Feb 26, 2025Updated last year
- ☆12Aug 8, 2023Updated 2 years ago
- [NeurIPS2024] BoostAdapter: Improving Test-Time Adaptation via Regional Bootstrapping☆18Feb 28, 2026Updated 2 weeks ago
- This is a comprehensive resource repository for deep learning model inversion attacks and defenses research.☆28Nov 13, 2025Updated 4 months ago
- [TPAMI2025] BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors☆15Apr 23, 2025Updated 10 months ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Jan 18, 2023Updated 3 years ago
- ☆15Jun 4, 2024Updated last year
- ☆27Sep 23, 2022Updated 3 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆31Dec 12, 2021Updated 4 years ago
- GAN you see me? enhanced data reconstruction attacks against split inference - NeurIPS 2023☆12Mar 26, 2025Updated 11 months ago
- Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.☆22May 3, 2022Updated 3 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆19Jul 20, 2021Updated 4 years ago
- Gaussian Membership Inference Privacy (NeurIPS 2023)☆12Jul 27, 2024Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 3 years ago