April 12, 2023, 1:10 a.m. | Shaowei Wang

cs.CR updates on arXiv.org arxiv.org

In decentralized settings, the shuffle model of differential privacy has
emerged as a promising alternative to the classical local model. Analyzing
privacy amplification via shuffling is a critical component in both
single-message and multi-message shuffle protocols. However, current methods
used in these two areas are distinct and specific, making them less convenient
for protocol designers and practitioners. In this work, we introduce
variation-ratio reduction as a unified framework for privacy amplification
analyses in the shuffle model. This framework utilizes total …

amplification critical current decentralized designers differential privacy framework local making message messages privacy protocol protocols settings shuffle single work

Social Engineer For Reverse Engineering Exploit Study

@ Independent study | Remote

SITEC- Systems Security Administrator- Camp HM Smith

@ Peraton | Camp H.M. Smith, HI, United States

Cyberspace Intelligence Analyst

@ Peraton | Fort Meade, MD, United States

General Manager, Cybersecurity, Google Public Sector

@ Google | Virginia, USA; United States

Cyber Security Advisor

@ H&M Group | Stockholm, Sweden

Engineering Team Manager – Security Controls

@ H&M Group | Stockholm, Sweden