Privacy and Applied Cryptography Lab.13
Privacy and Applied Cryptography Lab (PACL) is a research group in the Department of Electrical Engineering and Computer Science at DGIST.
Our central research topics are various applications based on cryptographic primitives. With the recent development of quantum computers, conventional public-key cryptosystems such as RSA or ECC (elliptic curve cryptography) are being threatened. Therefore, secure cryptographic algorithms under quantum computing environments have significant practical and industrial importance. We devise, analyze, and implement a new class of cryptographic schemes known as quantum-safe cryptography or post-quantum cryptography.
Using cryptographic toolsets, we study technologies to preserve privacy in data process outsourcing. To this end, we develop and implement fully homomorphic encryption efficiently. Then, we investigate efficient and practical technologies that preserve privacy in the AI as a service (AIaaS) application.
- Privacy-Preserving Machine Learning
- Post-Quantum Cryptography
- Vehicular Security
Advisor Professor : Kim, Young-Sik
Privacy and Applied Cryptography Lab. Homepage
Our central research topics are various applications based on cryptographic primitives. With the recent development of quantum computers, conventional public-key cryptosystems such as RSA or ECC (elliptic curve cryptography) are being threatened. Therefore, secure cryptographic algorithms under quantum computing environments have significant practical and industrial importance. We devise, analyze, and implement a new class of cryptographic schemes known as quantum-safe cryptography or post-quantum cryptography.
Using cryptographic toolsets, we study technologies to preserve privacy in data process outsourcing. To this end, we develop and implement fully homomorphic encryption efficiently. Then, we investigate efficient and practical technologies that preserve privacy in the AI as a service (AIaaS) application.
- Privacy-Preserving Machine Learning
- Post-Quantum Cryptography
- Vehicular Security
Advisor Professor : Kim, Young-Sik
Privacy and Applied Cryptography Lab. Homepage
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Recent Submissions
- CKKS 동형암호를 이용한 ARX 연산 효율화 및 LEA 블록암호 키 마이그레이션 프레임워크
- 블록체인 기반 실시간 자율주행 차량 데이터 무결성 보장 기술 시뮬레이션 프로그램 v1.0
- Post-Quantum Cryptography Migration on V2X Certificate using KpqC Algorithms
- Fast polynomial inversion algorithms for the post-quantum cryptography
- Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
