학술행사
- 발표자 김미란 교수(한양대학교)
- 개최일시 2024-08-26 14:00-16:00
- 장소 국가수리과학연구소 산업수학혁신센터(판교)
-
일시: 2024년 8월 26일(월), 14:00-16:00
-
장소: 판교 테크노밸리 산업수학혁신센터 세미나실
- 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소
- 무료주차는 2시간 지원됩니다.
-
발표자: 김미란 교수(한양대학교)
-
주요내용: Homomorphic encryption
Homomorphic encryption is an encryption method to allow arbitrary computation on encrypted data without decryption. It has emerged as one of the promising solutions to address privacy and security issues in outsourcing computation on sensitive data. In this talk, I will introduce recent development and progress on homomorphic encryption. In particular, I will introduce a homomorphic encryption cryptosystem that enables approximate computation over encryption, which has shown remarkable performance in artificial intelligence. I will then summarize the state-of-art benchmarks of the encryption systems in real-world applications such as machine learning and biomedical study.
유튜브 스트리밍 예정입니다.
-
일시: 2024년 8월 26일(월), 14:00-16:00
-
장소: 판교 테크노밸리 산업수학혁신센터 세미나실
- 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소
- 무료주차는 2시간 지원됩니다.
-
발표자: 김미란 교수(한양대학교)
-
주요내용: Homomorphic encryption
Homomorphic encryption is an encryption method to allow arbitrary computation on encrypted data without decryption. It has emerged as one of the promising solutions to address privacy and security issues in outsourcing computation on sensitive data. In this talk, I will introduce recent development and progress on homomorphic encryption. In particular, I will introduce a homomorphic encryption cryptosystem that enables approximate computation over encryption, which has shown remarkable performance in artificial intelligence. I will then summarize the state-of-art benchmarks of the encryption systems in real-world applications such as machine learning and biomedical study.
