all InfoSec news
Center-Based Relaxed Learning Against Membership Inference Attacks
April 30, 2024, 4:11 a.m. | Xingli Fang, Jung-Eun Kim
cs.CR updates on arXiv.org arxiv.org
Abstract: Membership inference attacks (MIAs) are currently considered one of the main privacy attack strategies, and their defense mechanisms have also been extensively explored. However, there is still a gap between the existing defense approaches and ideal models in performance and deployment costs. In particular, we observed that the privacy vulnerability of the model is closely correlated with the gap between the model's data-memorizing ability and generalization ability. To address this, we propose a new architecture-agnostic …
arxiv attack attacks center cs.ai cs.cr cs.lg defense deployment gap main performance privacy strategies
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Information Security Engineers
@ D. E. Shaw Research | New York City
Technology Security Analyst
@ Halton Region | Oakville, Ontario, Canada
Senior Cyber Security Analyst
@ Valley Water | San Jose, CA
Consultant Sécurité SI Gouvernance - Risques - Conformité H/F - Strasbourg
@ Hifield | Strasbourg, France
Lead Security Specialist
@ KBR, Inc. | USA, Dallas, 8121 Lemmon Ave, Suite 550, Texas
Consultant SOC / CERT H/F
@ Hifield | Sèvres, France