ORNL Privacy Enhancing Technology Hub
Browser-based tools to assess and reduce privacy risk in tabular datasets before sharing or publishing.
All operations run locally in your browser. No data is sent to any server.
Available tools
Choose a tool based on your dataset and privacy goal. Start with a risk scan, then apply transformations as needed.
Privacy Risk Scanner
Automatically scan your dataset to detect potential privacy risks and receive guided recommendations.
Open toolDrop Columns
Remove selected columns from a CSV file locally in your browser.
Open toolRare Value Suppression
Detect and suppress rare values by count or proportion to reduce re-identification risk.
Open toolGeneralize / Mask
Generalize timestamps and locations (lat/lon/ZIP) or lightly mask values to reduce identifiability.
Open toolk-Anonymity
Apply k-anonymity with optional l-diversity and t-closeness checks.
Open toolEncrypt / Decrypt
Hybrid RSA-OAEP + AES-GCM local encryption and decryption for secure sharing.
Open toolHexus
Hexifies geospatial datasets, maps points and lines into hexagons.
Open tool