all InfoSec news
Non-interactive privacy-preserving naive Bayes classifier using homomorphic encryption
March 27, 2023, 1 a.m. |
IACR News www.iacr.org
ePrint Report: Non-interactive privacy-preserving naive Bayes classifier using homomorphic encryption
Jingwei Chen, Yong Feng, Yang Liu, Wenyuan Wu, Guanci Yang
In this paper, we propose a non-interactive privacy-preserving naive Bayes classifier from leveled fully homomorphic encryption schemes. The classifier runs on a server that is also the model’s owner (modeler), whose input is the encrypted data from a client. The classifier produces encrypted classification results, which can only be decrypted by the client, while the modelers model is only accessible …
chen classification client data encrypted encrypted data encryption eprint report fully homomorphic encryption homomorphic encryption input leak non privacy report results server
More from www.iacr.org / IACR News
Updatable Policy-Compliant Signatures
1 day, 14 hours ago |
www.iacr.org
Guess and Determine Analysis Based on Set Split
1 day, 14 hours ago |
www.iacr.org
Improving Generic Attacks Using Exceptional Functions
1 day, 14 hours ago |
www.iacr.org
Real-Valued Somewhat-Pseudorandom Unitaries
2 days, 17 hours ago |
www.iacr.org
A Variation on Knellwolf and Meier's Attack on the Knapsack Generator
2 days, 18 hours ago |
www.iacr.org
Jobs in InfoSec / Cybersecurity
Information Technology Specialist II: Network Architect
@ Los Angeles County Employees Retirement Association (LACERA) | Pasadena, CA
Cybersecurity Skills Challenge -- Sponsored by DoD
@ Correlation One | United States
Security Operations Center (SOC) Analyst
@ GK Cybersecurity Group | Remote
Cyber Threat Defense - PAM Manager
@ PwC | Amsterdam - Thomas R. Malthusstraat 5
InfoSec Specialist
@ Deutsche Bank | Bucharest
DevSecOps Engineer
@ Swiss Re | Bengaluru, KA, IN