How to Accurately and Privately Identify Anomalies
Author:
Affiliation:
1. Rutgers University, Newark, NJ, USA
Funder
National Science Foundation
National Institute of General Medical Sciences
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3319535.3363209
Reference41 articles.
1. Geo-indistinguishability
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2. U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated Learning;IEEE Transactions on Privacy;2024
3. A Framework for Privacy-Preserving White-Box Anomaly Detection using a Lattice-Based Access Control;Proceedings of the 28th ACM Symposium on Access Control Models and Technologies;2023-05-24
4. SAFE-PASS: Stewardship, Advocacy, Fairness and Empowerment in Privacy, Accountability, Security, and Safety for Vulnerable Groups;Proceedings of the 28th ACM Symposium on Access Control Models and Technologies;2023-05-24
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