all InfoSec news
Data Privacy and Trustworthy Machine Learning. (arXiv:2209.06529v1 [cs.LG])
Sept. 15, 2022, 1:20 a.m. | Martin Strobel, Reza Shokri
cs.CR updates on arXiv.org arxiv.org
The privacy risks of machine learning models is a major concern when training
them on sensitive and personal data. We discuss the tradeoffs between data
privacy and the remaining goals of trustworthy machine learning (notably,
fairness, robustness, and explainability).
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Information Security Engineers
@ D. E. Shaw Research | New York City
Security Officer Hospital Mission Viejo
@ Allied Universal | Mission Viejo, CA, United States
Junior Offensive Cyber Security Researcher
@ Draper | Cambridge, MA, United States
Consultant reporting reglementaire
@ Talan | Luxembourg, Luxembourg
Chief Information Security Officer
@ Kantox | Barcelona, Catalonia, Spain