Differential Privacy Testing System
☆22Apr 24, 2020Updated 6 years ago
Alternatives and similar repositories for dp-finder
Users that are interested in dp-finder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Quantifying Differential Privacy under Temporal Correlations☆12Mar 24, 2026Updated 6 months ago
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆23May 26, 2022Updated 4 years ago
- ☆11Mar 31, 2023Updated 3 years ago
- Duet: A Language for Differential Privacy☆17Jul 5, 2022Updated 4 years ago
- Probabilistic Computer Network Analysis☆20Dec 8, 2018Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Fuzzer and generator for string and regex problems in SMT-LIB 2.x format.☆22Dec 17, 2021Updated 4 years ago
- Version of IKOS abstract interpreter implementing parallel deterministic fixpoint computation☆17Aug 24, 2020Updated 6 years ago
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Aug 1, 2023Updated 3 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Apr 13, 2026Updated 6 months ago
- ☆14Oct 6, 2020Updated 6 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆79Nov 6, 2025Updated 11 months ago
- Analytic calibration for differential privacy with Gaussian perturbations☆52Oct 7, 2018Updated 8 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 2 years ago
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆12Sep 7, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Python package to create a report for mobility data with differential privacy guarantees.☆15Sep 18, 2024Updated 2 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Feb 20, 2023Updated 3 years ago
- A Fast Floating-Point Satisfiability Solver☆31Jul 26, 2025Updated last year
- 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
- The MemCAD static analyzer☆27Oct 15, 2021Updated 5 years ago
- ☆11Nov 27, 2024Updated last year
- An arbitrary-precision differentiable programming language.☆35Jul 7, 2023Updated 3 years ago
- Location Privacy Preservation of Vehicle Data in Internet of Vehicles☆10May 11, 2022Updated 4 years ago
- Source code for the VLDB 2021 paper.☆12May 19, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 🎓🔒 Creating, Analyzing and Testing Differential Privacy Protocols, aiming in Data Protection and Anonymization.☆17Jul 29, 2021Updated 5 years ago
- BinDex: A Two-Layered Index for Fast and Robust Scans (SIGMOD2020)☆10Jun 5, 2020Updated 6 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Aug 22, 2020Updated 6 years ago
- Tool for testing programs with C/C++11 Atomics☆11Dec 9, 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
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Apr 16, 2021Updated 5 years ago
- Amun is a framework that achieves privacy-preserving process mining using differential privacy.☆13Jan 16, 2023Updated 3 years ago
- Documentation☆49Oct 9, 2026Updated last week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- MachSMT: An ML-Driven Algorithm Selection tool for SMT Solvers☆28Aug 28, 2026Updated last month
- SMT-LIB benchmarks for shape computations from deep learning models in PyTorch☆18Dec 21, 2022Updated 3 years ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆19May 7, 2024Updated 2 years ago
- ☆32Jul 10, 2026Updated 3 months ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆49Aug 30, 2022Updated 4 years ago
- Solver for Constrained Horn Clauses☆52Updated this week
- ☆19Jun 11, 2021Updated 5 years ago