all InfoSec news
l-Leaks: Membership Inference Attacks with Logits. (arXiv:2205.06469v1 [cs.LG])
May 16, 2022, 1:20 a.m. | Shuhao Li, Yajie Wang, Yuanzhang Li, Yu-an Tan
cs.CR updates on arXiv.org arxiv.org
Machine Learning (ML) has made unprecedented progress in the past several
decades. However, due to the memorability of the training data, ML is
susceptible to various attacks, especially Membership Inference Attacks (MIAs),
the objective of which is to infer the model's training data. So far, most of
the membership inference attacks against ML classifiers leverage the shadow
model with the same structure as the target model. However, empirical results
show that these attacks can be easily mitigated if the shadow …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Principal Security Engineer
@ Elsevier | Home based-Georgia
Infrastructure Compliance Engineer
@ NVIDIA | US, CA, Santa Clara
Information Systems Security Engineer (ISSE) / Cybersecurity SME
@ Green Cell Consulting | Twentynine Palms, CA, United States
Sales Security Analyst
@ Everbridge | Bengaluru
Alternance – Analyste Threat Intelligence – Cybersécurité - Île-de-France
@ Sopra Steria | Courbevoie, France
Third Party Cyber Risk Analyst
@ Chubb | Philippines