[PETS'26] AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
-
Updated
Mar 30, 2026 - Python
[PETS'26] AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
This repository houses a prototype of FrostyTracking, a Streamlit-powered Audit Analytics for Snowflake.
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.
Auditing framework for synthetic data generators (GAN-based) in imbalanced recession prediction.
Exploratory data analysis and data auditing for a D2C churn project. Focuses on cleaning the dataset, understanding customer behavior, finding patterns, and preparing insights for later retention and churn modeling stages.
Python tool for automated photo anonymization and data integrity auditing.
Evidence-driven deletion auditing with historical identity resolution, policy-based remediation planning, and verification.
AI-powered data deletion audit agent that traces user identifiers across databases, logs, backups, search indexes, and sync pipelines. Evaluates deletion completeness, detects residual personal data and resurrection risks, and generates ordered remediation steps while preserving policy-mandated records.
To associate your repository with the data-auditing topic, visit your repo's landing page and select "manage topics."