교직원

Faculty & Staff

  • 교직원
  • 교수

교수

교수 이미지
정보보호
권태경 교수
  • 02-2123-4523
  • taekyoung@yonsei.ac.kr
  • 정보보호연구실/AI 보안연구실
  • 새천년관 407호
연구분야

AI SecurityAI SafetyData PrivacySystem Security

학력
  • 1995-1999 : 연세대학교 컴퓨터과학과 박사

  • 1993-1995 : 연세대학교 컴퓨터과학과 석사

  • 1988-1992 : 연세대학교 컴퓨터과학과 학사

경력
  • 2013-현재 : 연세대학교 정보대학원 교수

  • 2020-현재 : 연세대학교 인공지능대학원 AI+X 겸직교수

  • 2001-2013 : 세종대학교 컴퓨터공학과 교수

  • 1999-2000 : Univ. of California at Berkeley, Postdoctoral Researcher

주요 연구활동 및 저서
  • Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships, IEEE Transactions on Information Forensics and Security (TIFS), 2025. (IF: 8)

  • Red-Teaming LLMs with Token Control Score: Efficient, Universal, and Transferable Jailbreaks, RAID 2025. (BK: 2)

  • Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing, ICCV 2025. (BK: 4)

  • Continuous Authentication for Secure and Seamless User-Avatar Integration in Multi-Device Metaverses, IEEE Internet of Things Journal (IoT-J), 2025. (IF: 8.9)

  • A Continuous Authentication Framework for Securing Metaverse Identities, IEEE Transactions on Services Computing (TSC), 2025. (IF: 5.8)

  • Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-based Mutation, in Proc. the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024. (BK: 2)

  • Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training, AIsec 2024

  • Enhancing Differential Fuzzing of Cryptographic Libraries with Sustainable Hybrid Fuzzing and Crypto-Specific Mutation, ICISC 2024 (Best Paper Award)

  • BoKASAN: Binary-only Kernel Address Sanitizer for Effective Kernel Fuzzing, Usenix Security 2023 (BK: 3)

Tae-Kyoung Kwon