all InfoSec news
Safe machine learning model release from Trusted Research Environments: The AI-SDC package. (arXiv:2212.01233v1 [cs.LG])
Dec. 5, 2022, 2:10 a.m. | Jim Smith, Richard Preen, Andrew McCarthy, Alba Crespi Boixander, James Liley, Simon Rogers
cs.CR updates on arXiv.org arxiv.org
We present AI-SDC, an integrated suite of open source Python tools to
facilitate Statistical Disclosure Control (SDC) of Machine Learning (ML) models
trained on confidential data prior to public release. AI-SDC combines (i) a
SafeModel package that extends commonly used ML models to provide ante-hoc SDC
by assessing the vulnerability of disclosure posed by the training regime; and
(ii) an Attacks package that provides post-hoc SDC by rigorously assessing the
empirical disclosure risk of a model through a variety of …
environments machine machine learning package release research safe
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