Web: http://arxiv.org/abs/2209.06997

Sept. 16, 2022, 1:20 a.m. | Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue

cs.CR updates on arXiv.org arxiv.org

With the development of machine learning techniques, the attention of
research has been moved from single-modal learning to multi-modal learning, as
real-world data exist in the form of different modalities. However, multi-modal
models often carry more information than single-modal models and they are
usually applied in sensitive scenarios, such as medical report generation or
disease identification. Compared with the existing membership inference against
machine learning classifiers, we focus on the problem that the input and output
of the multi-modal models …

Chief Information Security Officer

@ Los Angeles Unified School District | Los Angeles

Cybersecurity Engineer

@ Apercen Partners LLC | Folsom, CA

IDM Sr. Security Developer

@ The Ohio State University | Columbus, OH, United States

IT Security Engineer

@ Stylitics | New York City

Information Security Engineer

@ VDA Labs | Remote

Sr. Malware Researcher - Windows Software Engineer

@ SentinelOne | Brno, South Moravian, Czech Republic

Senior Cyber Security Incident Response Analyst

@ ServiceNow | Dublin, Ireland

Staff, Privacy Compliance Monitoring

@ Coupang | Seoul, South Korea

VULNERABILITY MANAGER

@ Security Bank | Makati, Makati, Philippines

Cyber Security Analyst

@ Avery Dennison | Bengaluru/Remote, India

Security Incident Response Manager (Remote, Americas)

@ Shopify | Dallas, TX, United States

Sr. Compliance Specialist (Screening)

@ Coupang | Seoul, South Korea