☆15Apr 4, 2024Updated last year
Alternatives and similar repositories for quantile-mia
Users that are interested in quantile-mia are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…☆24Sep 29, 2023Updated 2 years ago
- This repository contains the source code for "Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble", In Pro…☆10Jan 2, 2026Updated 2 months ago
- ☆20Oct 28, 2025Updated 4 months ago
- ☆25Nov 14, 2022Updated 3 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 3 years ago
- Shadow Attack, LiRA, Quantile Regression and RMIA implementations in PyTorch (Online version)☆14Nov 8, 2024Updated last year
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Sep 6, 2023Updated 2 years ago
- Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"☆15Dec 16, 2025Updated 3 months ago
- ☆33Nov 27, 2023Updated 2 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆34Aug 29, 2022Updated 3 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- Network Simulation of jitter, packet loss and time delay☆13Jul 16, 2018Updated 7 years ago
- ☆24Aug 18, 2023Updated 2 years ago
- Official implementation of the paper "ALTER: Augmentation for Large-Table-Based Reasoning"☆15Aug 26, 2024Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆43Sep 4, 2024Updated last year
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated last year
- Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch☆12Aug 30, 2024Updated last year
- 基于用户的协同过滤（UserCF）与基于内容（CB）的推荐算法的后融合☆13Nov 20, 2020Updated 5 years ago
- ☆13Aug 15, 2024Updated last year
- ☆15Jun 4, 2024Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆140Jan 22, 2026Updated 2 months ago
- -☆11Dec 18, 2022Updated 3 years ago
- ☆12Dec 22, 2023Updated 2 years ago
- ☆17Jul 26, 2021Updated 4 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Dec 1, 2021Updated 4 years ago
- Scalable and privacy-enhanced graph generative models for benchmark graph neural networks☆17Nov 1, 2023Updated 2 years ago
- Official repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization☆16Mar 8, 2024Updated 2 years ago
- This repository contains codes for paper: Generalized Linear Bandits with Local Differential Privacy by Yuxuan Han, Zhipeng Liang, Yang W…☆16Oct 26, 2021Updated 4 years ago
- ☆19Mar 6, 2023Updated 3 years ago
- Website for release of TellMeWhy dataset for why question answering☆14Nov 11, 2022Updated 3 years ago
- Object recognition with Pepper using a deep learning model☆10Sep 16, 2021Updated 4 years ago
- ☆19Feb 22, 2023Updated 3 years ago
- Gaussian Membership Inference Privacy (NeurIPS 2023)☆12Jul 27, 2024Updated last year
- Computationally friendly hyper-parameter search with DP-SGD☆25Jan 7, 2025Updated last year
- Source code and scripts for the paper "Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks"☆20Dec 10, 2024Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- Control Blackmagic Design cameras using Bluetooth Low Energy☆12Apr 6, 2020Updated 5 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆199Nov 15, 2017Updated 8 years ago
- python image data augmentation☆12Jul 24, 2017Updated 8 years ago