Differential Privacy, Firm-Level Data, and the Binomial Pathology
Differential privacy (DP) is a privacy-enhancing technology that is increasingly being used by policy makers in the United States and Europe, but it is not well suited to protect corporate proprietary information that is used to produce some kinds of aggregate industrywide statistics.
Authors
- kc claffy (ORCID: https://orcid.org/0000-0003-4824-3493)
- Simson Garfinkel (ORCID: https://orcid.org/0000-0003-1294-2831)
- David D. Clark (ORCID: https://orcid.org/0009-0002-2823-2527)
Institutions
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- IEEE Security & Privacy
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1109/msec.2024.3430837
- Citations
- 1
- Primary Topic
- Firm Innovation and Growth
- Type
- article
- Field-Weighted Citation Impact
- 1.13