Jan. 17, 2024, 1:17 p.m. | Kishalaya Kundu

TechSpot www.techspot.com


Tracked as CVE-2023-4969, the vulnerability allows attackers to recover data from GPU local memory. While it affects all GPU applications, it is especially dangerous for large language models (LLMs) and machine learning (ML) workloads that often process copious amounts of potentially sensitive data. By recovering local memory, the researchers claim...

Read Entire Article

ai data amd apple applications cve data gpu gpus language language models large language large language models llms machine machine learning memory process qualcomm vulnerability workloads

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Sr. VBI Developer II

@ Atos | Texas, US, 75093

Wealth Management - Data Analytics Intern/Co-op Fall 2024

@ Scotiabank | Toronto, ON, CA