Youngjoon Yu

Ph. D. Candidate

Image and Video Systems Laboratory

Korea Advanced Institute of Science and Technology (KAIST)

School of Electrical Engineering


email: greatday [at] kaist.ac.kr

Research Interests:

  • Robust AI, Physical Adversarial Attack/Defense, Causal AI

Education

  • KAIST, Daejeon, Korea (2020-Present)

Ph.D. in Electrical Engineering

Advisor: Prof. Yong Man Ro

  • KAIST, Seoul, Korea (2014-2017)

M.S. in Management Engineering

  • KAIST, Daejeon, Korea (2014)

B.S. in Electrical Engineering

Publications

  • Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors using Transparent Low-e films

Taeheon Kim, Youngjoon Yu, Yong Man Ro

AAAI Conference on Artificial Intelligence (AAAI), 2023

  • Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame

Youngjoon Yu*, Hong Joo Lee*, Hakmin Lee and Yong Man Ro (* equal contribution)

IEEE Transactions on Image Processing (TIP), 2022 (Accepted, IF:11.041 )

  • Defending Physical Adversarial Attack on Object Detection via Adversarial Patch-Feature Energy

Taeheon Kim, Youngjoon Yu, Yong Man Ro

ACM Multimedia (ACM MM), 2022

  • Robust Decision-based Black-box Adversarial Attack via Coarse-to-fine Random Search

Byeong Cheon Kim*, Youngjoon Yu*, and Yong Man Ro (* equal contribution)

IEEE International Conference on Image Processing (ICIP), 2021

  • Towards Robust Training of Multi-sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation

Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim, Jung Uk Kim, and Yong Man Ro

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 [paper]

  • Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning

Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim, Jung Uk Kim, and Yong Man Ro

arXiv preprint arXiv:2005.10987, 2020 [paper]


Professional Activities

  • Reviewer of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

  • Reviewer of Computer Vision and Pattern Recognition (CVPR)

  • Reviewer of European Conference on Computer Vision (ECCV)

  • Reviewer of IEEE International Conference of Acoustics, Speech, and Signal Processing (ICASSP)


Awards & Honors

  • The Best Presentation Award

KAIST-Korea Agency for Defence Development Workshop, 2022

  • The Best Paper Award

Military Operations Research Society of Korea, 2020

News Articles

  • 딥러닝, 적대적 공격 막는 방어 프레임 개발...KAIST, 인공지능 방어 성능 강화!, AI Times, 2022.11.15

www.aitimes.kr/news/articleView.html?idxno=26512&fbclid=IwAR2WmHVCdeKnxy0l68wuTFCb2czLTR_JQtC-hHFPITKmPI45SXrpNSz86TI