April 16, 2024, 4:11 a.m. | Xun Yuan, Yang Yang, Prosanta Gope, Aryan Pasikhani, Biplab Sikdar

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.09722v1 Announce Type: cross
Abstract: In the current artificial intelligence (AI) era, the scale and quality of the dataset play a crucial role in training a high-quality AI model. However, good data is not a free lunch and is always hard to access due to privacy regulations like the General Data Protection Regulation (GDPR). A potential solution is to release a synthetic dataset with a similar distribution to that of the private dataset. Nevertheless, in some scenarios, it has been …

access adversarial ai model artificial artificial intelligence arxiv cs.ai cs.cr cs.lg current data data publication dataset federated federated learning free generative good hard high intelligence network play privacy privacy regulations quality regulations role scale training

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

Sr. Staff Firmware Engineer – Networking & Firewall

@ Axiado | Bengaluru, India

Compliance Architect / Product Security Sr. Engineer/Expert (f/m/d)

@ SAP | Walldorf, DE, 69190

SAP Security Administrator

@ FARO Technologies | EMEA-Portugal