all InfoSec news
Stability and Generalization of Differentially Private Minimax Problems. (arXiv:2204.04858v2 [cs.LG] UPDATED)
April 25, 2022, 1:20 a.m. | Yilin Kang, Yong Liu, Jian Li, Weiping Wang
cs.CR updates on arXiv.org arxiv.org
In the field of machine learning, many problems can be formulated as the
minimax problem, including reinforcement learning, generative adversarial
networks, to just name a few. So the minimax problem has attracted a huge
amount of attentions from researchers in recent decades. However, there is
relatively little work on studying the privacy of the general minimax paradigm.
In this paper, we focus on the privacy of the general minimax setting,
combining differential privacy together with minimax optimization paradigm.
Besides, via …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Information Technology Specialist II: Network Architect
@ Los Angeles County Employees Retirement Association (LACERA) | Pasadena, CA
Cybersecurity Skills Challenge -- Sponsored by DoD
@ Correlation One | United States
Security Operations Center (SOC) Analyst
@ GK Cybersecurity Group | Remote
DevSecOps Engineer
@ SIXGEN | Remote
Senior DevSecOps Engineer
@ nou Systems, Inc. | Huntsville AL, Huntsville, AL, US
Security Engineer (f/m/d)
@ Enpal B.V. | Berlin, Germany