eth-sri / dp-finderLinks
Differential Privacy Testing System
☆22Updated 5 years ago
Alternatives and similar repositories for dp-finder
Users that are interested in dp-finder are comparing it to the libraries listed below
Sorting:
- Statistical Counterexample Detector for Differential Privacy☆28Updated last year
- The released code of ReluVal in USENIX Security 2018☆59Updated 5 years ago
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆25Updated 3 years ago
- Duet: A Language for Differential Privacy☆16Updated 2 years ago
- Research Artifact of USENIX Security 2023 Paper: Precise and Generalized Robustness Certification for Neural Networks☆12Updated 2 years ago
- CIPHERH: Automated Detection of Ciphertext Side-channel Vulnerabilities in Cryptographic Implementations☆13Updated last year
- ☆66Updated 5 years ago
- This repository contains the evaluation code for the NDSS 2024 paper: MPCDIFF: Testing and Repairing MPC-Hardened Deep Learning Models.☆14Updated last year
- Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."☆10Updated 2 years ago
- Safety Verification of Deep Neural Networks☆50Updated 7 years ago
- The released code of Neurify in NIPS 2018☆49Updated 2 years ago
- The Charon tool for analyzing neural network robustness☆14Updated 5 years ago
- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…☆26Updated 3 years ago
- Secure Aggregation for FL☆35Updated last year
- The library for symbolic interval☆21Updated 5 years ago
- This repository contains all public data, python scripts, and documentation relating to NIST Public Safety Communications Research Divisi…☆11Updated 2 years ago
- ☆32Updated 2 years ago
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- ☆38Updated 3 years ago
- ☆101Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Artifact of PrivAnalyzer as described in the Usenix 2022 paper "PrivGuard: Privacy Regulation Compliance Made Easier"☆13Updated 3 years ago
- A tool for testing SMT solvers for incompleteness bugs☆16Updated 2 years ago
- Concolic Testing for Deep Neural Networks☆119Updated 3 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆60Updated 5 years ago
- Neural Network Enumeration Tool☆34Updated 2 years ago
- Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf☆28Updated 3 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Updated 2 years ago
- ☆47Updated 6 years ago
- Library for training globally-robust neural networks.☆28Updated last year