Contrastive Privacy: A Semantic Approach to Measuring Privacy of AI-based Sanitization
cs.CR
Submitted: 2026-05-03
Updated: 2026-09-16
Code: https://github.com/umass-forensics/contrastive-privacy
Project page: https://umass-forensics.github.io/contrastive-privacy
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- From Pixels to Privacy: Temporally Consistent Video Anonymization via Token Pruning for Privacy Preserving Action Recognition
- Unsafe2Safe: Controllable Image Anonymization for Downstream Utility
- The Faiss library
- Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks
- Persuasive Privacy
- Can Large Language Models Really Recognize Your Name?
- GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents
- A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
- DP-Image: Differential Privacy for Image Data in Feature Space
- Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
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