[PETS'26] AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
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Updated
Mar 30, 2026 - Python
[PETS'26] AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
jfa is an R package that provides statistical methods for auditing. Its functionality and intended workflow are implemented with a graphical user interface in the Audit module of JASP (https://jasp-stats.org), a free and open-source software program for statistical analyses.
In your projects developed with EntityFramework, it keeps track of all the changes that take place in your database and records them wherever you want.
The Audit module is designed to support statistical auditing using both Bayesian and classical approaches. The module is based on the R package jfa.
Data Wangling with Python
This project explores Snowflake’s Time Travel feature, including querying historical data using offsets, retention periods, and query IDs. It demonstrates restoring previous table states after updates, managing retention settings, and recovering data efficiently.
A lightweight toolkit for auditing non-equilibrium transitions and structural collapse in complex time-series data. Features dual-branch DSP (LF/HF), interpretable metrics, and an interactive browser UI.
This repository houses a prototype of FrostyTracking, a Streamlit-powered Audit Analytics for Snowflake.
Maven-based Java utility to scan SQL Server and track created vs. updated records using timestamp fields across all schemas.
Structured data-cleaning pipeline built on the Olist e-commerce dataset, focusing on reproducible ingestion, schema profiling, and light standardization using Python and pandas. Emphasizes clear pipeline stages, auditability, and portfolio-ready documentation.
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