EST. 2022 · Wonju-si, Republic of Korea
Securing AI & Advancing Security with AI
Welcome to AISLab. We explore the security and trustworthiness of Artificial Intelligence (AI) systems. We investigate how AI can be attacked, how it can be defended, and how it can be used to solve real-world cybersecurity problems. Our goal is to develop robust, privacy-preserving, and deployable AI security technologies grounded in realistic threat models.
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- 0papers
- Members
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- Active Projects
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Selected Publications
연구실의 최근 주요 연구 성과입니다.
- 01
Streamlined Knowledge Distillation
Hyeon-Jin Jung, Han-Jin Lee, & Seok-Hwan Choi†
CVPR · 2026
- 02
HyTAR: Robust rPPG Extraction pipeline for Deepfake Detection in Unconstrained Surveillance Environments
Jae-Hwan Jeong, Chan-Seuk Oh, & Seok-Hwan Choi†
AVSS · 2026
- 03
Logo-Conditioned Backdoor Attacks: Repurposing Natural Car Logos as Semantic Triggers in Object Detection
Chan-Seuk Oh, Jae-Hwan Jeong, & Seok-Hwan Choi†
AVSS · 2026
Latest Updates
학회 참석, 수상, 과제 수주 등 연구실 소식입니다.
- Conference
[수상 소식] CVPR 2026 Compute Transparency Champion 수상 (Streamlined Knowledge Distillation)
- Conference
[논문 소식] ACM CCS 2026 (정보과학회 최우수, BK 4) 최종 Accept (Don’t Trust the AI Ecosystem)
- Conference
[논문 소식] AVSS 2026 (BK 1) 최종 Accept (Logo-Conditioned Backdoor Attacks)
- Project
[과제 소식] 2026년 과학기술정보통신부·정보통신기획평가원(IITP) 디지털콜럼버스프로젝트 신규과제 선정
- Conference
[논문 소식] AVSS 2026 (BK 1) 최종 Accept (HyTAR: Robust rPPG Extraction Pipeline for Deepfake Detection)
- Conference
[논문 소식] CVPR 2026 (정보과학회 최우수) 최종 Accept (Streamlined Knowledge Distillation)
- Project
[과제 소식] 2026년 한국연구재단(NRF) 신진연구 신규과제 선정
- Project
[과제 소식] 의료 AI 반도체 전문인력 양성센터 산학협력 프로젝트 선정
- News
New Homepage Launched!
Lab Moments
학회, 워크숍, 회식, 스터디 — 연구실 순간들입니다.
