Feb. 27, 2024, 5:11 a.m. | Nicolas Ruiz

cs.CR updates on arXiv.org arxiv.org

arXiv:2402.16094v1 Announce Type: new
Abstract: Although the bulk of the research in privacy and statistical disclosure control is designed for static data, more and more data are often collected as continuous streams, and extensions of popular privacy tools and models have been proposed for this scenario. However, most of these proposals require buffers, where incoming individuals are momentarily stored, anonymized, and then released following a delay, thus considering a data stream as a succession of batches while it is by …

arxiv continuous control cs.cr data disclosure extensions popular privacy privacy tools private proposals release research scenario tools

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Senior Security Researcher, SIEM

@ Huntress | Remote Canada

Senior Application Security Engineer

@ Revinate | San Francisco Bay Area

Cyber Security Manager

@ American Express Global Business Travel | United States - New York - Virtual Location

Incident Responder Intern

@ Bentley Systems | Remote, PA, US

SC2024-003533 Senior Online Vulnerability Assessment Analyst (CTS) - THU 9 May

@ EMW, Inc. | Mons, Wallonia, Belgium