July 7, 2022, 1:20 a.m. | Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Guha Thakurta, Nisheeth K. Vishnoi

cs.CR updates on arXiv.org arxiv.org

Consider the following optimization problem: Given $n \times n$ matrices $A$
and $\Lambda$, maximize $\langle A, U\Lambda U^*\rangle$ where $U$ varies over
the unitary group $\mathrm{U}(n)$. This problem seeks to approximate $A$ by a
matrix whose spectrum is the same as $\Lambda$ and, by setting $\Lambda$ to be
appropriate diagonal matrices, one can recover matrix approximation problems
such as PCA and rank-$k$ approximation. We study the problem of designing
differentially private algorithms for this optimization problem in settings
where the …

ds geometry matrix

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Regional Leader, Cyber Crisis Communications

@ Google | United Kingdom

Regional Intelligence Manager, Compliance, Safety and Risk Management

@ Google | London, UK

Senior Analyst, Endpoint Security

@ Scotiabank | Toronto, ON, CA, M1K5L1

Software Engineer, Security/Privacy, Google Cloud

@ Google | Bengaluru, Karnataka, India

Senior Security Engineer

@ Coinbase | Remote - USA