eth-sri / dp-finder
Differential Privacy Testing System
☆20Updated 4 years ago
Alternatives and similar repositories for dp-finder:
Users that are interested in dp-finder are comparing it to the libraries listed below
- Research Artifact of USENIX Security 2023 Paper: Precise and Generalized Robustness Certification for Neural Networks☆12Updated last year
- The released code of ReluVal in USENIX Security 2018☆57Updated 4 years ago
- Duet: A Language for Differential Privacy☆17Updated 2 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated 9 months ago
- Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf☆27Updated 3 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
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆24Updated 2 years ago
- CIPHERH: Automated Detection of Ciphertext Side-channel Vulnerabilities in Cryptographic Implementations☆13Updated last year
- The Charon tool for analyzing neural network robustness☆13Updated 4 years ago
- CC: Causality-Aware Coverage Criterion for Deep Neural Networks☆11Updated last year
- The library for symbolic interval☆20Updated 4 years ago
- A tool for testing SMT solvers for incompleteness bugs☆15Updated 2 years ago
- ☆32Updated last year
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆59Updated 4 years ago
- Artifact of PrivAnalyzer as described in the Usenix 2022 paper "PrivGuard: Privacy Regulation Compliance Made Easier"☆13Updated 3 years ago
- Official implementation of ISSTA 2022 paper: MDPFuzz: Testing Models Solving Markov Decision Processes.☆23Updated 2 years ago
- Open source release from our ICLR 2020 paper, CLN2INV: Learning Loop Invariants with Continuous Logic Networks.☆21Updated 4 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 2 years ago
- ☆39Updated last year
- ☆28Updated last year
- OBsan: An Out-Of-Bound Sanitizer to Harden DNN Executables☆16Updated last year
- Sample codes to work with the C++ Paillier Library (http://hms.isi.jhu.edu/acsc/libpaillier/).☆8Updated 4 years ago
- Secure Aggregation for FL☆34Updated last year
- Machine Learning & Security Seminar @Purdue University☆25Updated last year
- ACM consolidated LaTeX styles☆65Updated 5 years ago
- Some algorithms for computation on encrypted data based on Microsoft SEAL☆27Updated 4 years ago
- A Fast Floating-Point Satisfiability Solver☆21Updated 6 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆64Updated last year