SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using membership inference attacks".
☆19May 7, 2024Updated 2 years ago
Alternatives and similar repositories for security-research-membership-inference-and-differential-privacy
Users that are interested in security-research-membership-inference-and-differential-privacy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆23May 26, 2022Updated 4 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆130May 1, 2023Updated 3 years ago
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Aug 1, 2023Updated 2 years ago
- Membership Inference Attack against Graph Neural Networks☆12Nov 9, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆12Sep 7, 2018Updated 7 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Feb 20, 2023Updated 3 years ago
- An Android app for the paranoids capable of remote SMS based device locking/wiping, faking the GPS and disabling the device cameras.☆11Dec 25, 2020Updated 5 years ago
- 百度商业AI技术创新大赛赛道二：广告图片描述生成 Rank3方案分享☆11Oct 9, 2024Updated last year
- Code for paper: "Privately generating tabular data using language models".☆16Jun 13, 2023Updated 3 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Apr 4, 2023Updated 3 years ago
- Python package to create a report for mobility data with differential privacy guarantees.☆15Sep 18, 2024Updated last year
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Mar 3, 2024Updated 2 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 3 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement☆10Mar 25, 2024Updated 2 years ago
- Amun is a framework that achieves privacy-preserving process mining using differential privacy.☆12Jan 16, 2023Updated 3 years ago
- ☆20Jan 26, 2025Updated last year
- ☆18Feb 7, 2024Updated 2 years ago
- [CVPR'24] LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning☆15Apr 17, 2026Updated 2 months ago
- Location Privacy Preservation of Vehicle Data in Internet of Vehicles☆10May 11, 2022Updated 4 years ago
- ☆17Oct 14, 2025Updated 8 months ago
- TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…☆10Nov 12, 2024Updated last year
- This repository contains codes for paper: Generalized Linear Bandits with Local Differential Privacy by Yuxuan Han, Zhipeng Liang, Yang W…☆16Apr 25, 2026Updated 2 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- ☆12May 29, 2024Updated 2 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆201Nov 15, 2017Updated 8 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- ☆11May 8, 2016Updated 10 years ago
- ☆10May 31, 2023Updated 3 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- ☆10Nov 1, 2023Updated 2 years ago
- Sample LDP implementation in Python☆129Jul 26, 2023Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆18May 31, 2023Updated 3 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 5 years ago
- Differential Privacy Testing System☆22Apr 24, 2020Updated 6 years ago
- Simulate a federated setting and run differentially private federated learning.☆393Mar 7, 2025Updated last year
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆16Jul 6, 2024Updated 2 years ago
- MCSI☆13Nov 2, 2021Updated 4 years ago
- GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''☆17May 7, 2022Updated 4 years ago