Current Result Document :
| 한글제목(Korean Title) |
프라이버시 보존 머신러닝의 연구 동향 |
| 영문제목(English Title) |
A Study on Privacy Preserving Machine Learning |
| 저자(Author) |
한우림
이영한
전소희
조윤기
백윤흥
Woorim Han
Younghan Lee
Sohee Jun
Yungi Cho
Yunheung Paek
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| 원문수록처(Citation) |
VOL 28 NO. 02 PP. 0924 ~ 0926 (2021. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
AI (Artificial Intelligence) is being utilized in various fields and services to give convenience to human life. Unfortunately, there are many security vulnerabilities in today’s ML (Machine Learning) systems, causing various privacy concerns as some AI models need individuals’ private data to train them. Such concerns lead to the interest in ML systems which can preserve the privacy of individuals’ data. This paper introduces the latest research on various attacks that infringe data privacy and the corresponding defense techniques. |
| 키워드(Keyword) |
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| 파일첨부 |
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