[KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"
☆21Sep 11, 2025Updated last year
Alternatives and similar repositories for Defend_MI
Users that are interested in Defend_MI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…☆48Jul 18, 2025Updated last year
- [AAAI 2023] Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network☆33Oct 15, 2024Updated last year
- This is the source code for Maximum Mean Discrepancy Test is Aware of Adversarial Attacks (ICML2021).☆20Aug 19, 2022Updated 4 years ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆223Aug 25, 2026Updated 3 weeks ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [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
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆34Nov 10, 2023Updated 2 years ago
- A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.☆196Updated this week
- ☆46Sep 24, 2023Updated 2 years ago
- ☆26Mar 17, 2023Updated 3 years ago
- ☆32May 2, 2021Updated 5 years ago
- Source Code for the JAIR Paper "Does CLIP Know my Face?" (Demo: https://huggingface.co/spaces/AIML-TUDA/does-clip-know-my-face)☆14Jul 9, 2024Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 2 years ago
- Dataset of 475000 faces from 530 faces (50x50 color) from facescrub☆19Aug 30, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ECCV 2024] "Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment"☆15Mar 12, 2025Updated last year
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 2 years ago
- Source code for ICML2021 Paper - Learning Bounds for Open-set Learning☆35Jul 17, 2021Updated 5 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 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆27Jun 24, 2022Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆57Jun 21, 2021Updated 5 years ago
- This repo contains source code and datasets used in code for Deep transfer learning enables lesion tracing of circulating tumor cells(CTC…☆12Jun 26, 2023Updated 3 years ago
- Code for NDSS 2022 paper "MIRROR: Model Inversion for Deep Learning Network with High Fidelity"☆28May 9, 2023Updated 3 years ago
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆20Jan 18, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 校园志愿者招募平台的设计与实现,2022年哈尔滨工业大学(深圳)《数据库系统》课程实验四 | design and implementation of a campus volunteer recruitment platform, lab4 of the course "…☆12Aug 25, 2023Updated 3 years ago
- Graph-based experience memory for LLM reward prediction with limited labels. 20% labels → 97.3% Oracle.☆19Mar 24, 2026Updated 5 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 3 years ago
- ☆15Jun 4, 2024Updated 2 years ago
- Code for "Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders" at ICML 2024☆11Sep 18, 2025Updated last year
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Jul 27, 2020Updated 6 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Sep 24, 2020Updated 5 years ago
- ☆11Nov 10, 2020Updated 5 years ago
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆11Aug 19, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data …☆12May 31, 2024Updated 2 years ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Jan 22, 2024Updated 2 years ago
- [ECCV 2022] Official pytorch implementation of "mc-BEiT: Multi-choice Discretization for Image BERT Pre-training" in European Conference …☆23Sep 13, 2022Updated 4 years ago
- Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.☆11Oct 9, 2022Updated 3 years ago
- This repository contains the evaluation code for the NDSS 2024 paper: MPCDIFF: Testing and Repairing MPC-Hardened Deep Learning Models.☆16Sep 5, 2023Updated 3 years ago
- Benchmark for Anomaly Detection in Semantic Segmentation☆12Feb 27, 2026Updated 6 months ago
- Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.1…☆18May 31, 2024Updated 2 years ago