all InfoSec news
Are Large Pre-Trained Language Models Leaking Your Personal Information?. (arXiv:2205.12628v1 [cs.CL])
May 26, 2022, 1:20 a.m. | Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
cs.CR updates on arXiv.org arxiv.org
Large Pre-Trained Language Models (PLMs) have facilitated and dominated many
NLP tasks in recent years. However, despite the great success of PLMs, there
are also privacy concerns brought with PLMs. For example, recent studies show
that PLMs memorize a lot of training data, including sensitive information,
while the information may be leaked unintentionally and be utilized by
malicious attackers.
In this paper, we propose to measure whether PLMs are prone to leaking
personal information. Specifically, we attempt to query PLMs …
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
IT Security Manager
@ Teltonika | Vilnius/Kaunas, VL, LT
Security Officer - Part Time - Harrah's Gulf Coast
@ Caesars Entertainment | Biloxi, MS, United States
DevSecOps Full-stack Developer
@ Peraton | Fort Gordon, GA, United States
Cybersecurity Cooperation Lead
@ Peraton | Stuttgart, AE, United States
Cybersecurity Engineer - Malware & Forensics
@ ManTech | 201DU - Customer Site,Herndon, VA