
Security News
Opengrep Adds Apex Support and New Rule Controls in Latest Updates
The latest Opengrep releases add Apex scanning, precision rule tuning, and performance gains for open source static code analysis.
This directory contains tools for tracking differential privacy budgets, available as part of the Google differential privacy library.
The set of DpEvent classes allow you to describe complex differentially private mechanisms such as Laplace and Gaussian, subsampling mechanisms, and their compositions. The PrivacyAccountant classes can ingest DpEvents and return the ε, δ of the composite mechanism. Privacy Loss Distributions (PLDs) and RDP accounting are currently supported.
More detailed definitions and references about PLDs can be found in our supplementary pdf document.
Our library only support Python version >= 3.9. We test this library on Linux with Python version 3.9. If you experience any problems, please file an issue on GitHub, also for other platforms or Python versions.
FAQs
Tools for tracking differential privacy budgets
We found that dp-accounting demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The latest Opengrep releases add Apex scanning, precision rule tuning, and performance gains for open source static code analysis.
Security News
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
Research
/Security News
A RubyGems malware campaign used 60 malicious packages posing as automation tools to steal credentials from social media and marketing tool users.