Seungju Cho (조승주)

Education

• 2021.3 - Present        Ph.D. (School of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea

• 2018.8 - 2020.8          M.S. (School of Computing), Korea Advanced Institute of Science Technology, South Korea

• 2012.3 - 2018.8          B.S. (Mathematics & Computer Science and Engineering), Sogang University, South Korea

Research Interests

• Adversarial Attack & Defense

Projects

• 2021.02 - 2021.11 : AI facial recognition disturbance technology through physical patterns, The Institute for Security Convergence, KAIST

• 2022.02 - current : Advancement of physically applicable adversarial attack on AI facial recognition models, The Institute for Security Convergence, KAIST

• 2021.02 - current : Anthropocene Study (digital ecology with AI), Ministry of Science and ICT (MSIT)

Publications

• “Indirect Gradient Matching for Adversarial Robust Distillation”
  Honshin Lee*, Seungju Cho*, and Changick Kim
  The International Conference on Learning Representations (ICLR), 2025.

• “Long-Tailed Adversarial Training with Self-Distillation”
  Seungju Cho*, Honshin Lee*, and Changick Kim
  The International Conference on Learning Representations (ICLR), 2025.

• “Enhancing Robustness in Incremental Learning with Adversarial Training”
  Seungju Cho*, Honshin Lee*, and Changick Kim
  The Association for the Advancement of Artificial Intelligence (AAAI), 2025.

• “Introducing competition to boost the transferability of targeted adversarial examples through clean feature mixup”
  Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, and Changick Kim
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• “Improving Adversarial Transferability Via Feature Translation”
  Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, and Changick Kim
  IEEE International Conference on Image Processing (ICIP), 2023.

• “RainUNet for Super-Resolution Rain Movie Prediction under Spatio-Temporal Shifts”
  Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, and Changick Kim
  Neural Information Processing Systems (NeurIPS Workshop), 2022.

• “Nowformer: A Locally Enhanced Temporal Learner for Precipitation Nowcasting”
  Jinyoung Park, Inyoung Lee, Minseok Son, Seungju Cho, and Changick Kim
  Neural Information Processing Systems (NeurIPS Workshop), 2022.

• “Adaptive Warping Network for Transferable Adversarial Attacks”
  Minji Son, Myung-Joon Kwon, Hee-Seon Kim, Junyoung Byun, Seungju Cho, and Changick Kim
  IEEE International Conference on Image Processing (ICIP), 2022.

• "Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness"
  Junyoung Byun, Hyojun Go, Seungju Cho, and Changick Kim
  IEEE International Conference on Image Processing (ICIP), 2022.

• “Adversarial Training with Channel Attention Regularization”
  Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, and Changick Kim
  IEEE International Conference on Image Processing (ICIP), 2022.

• “Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input”
  Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Hee-Seon Kim, and Changick Kim
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• “CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification”
  M. Kang, T. Tran, Seungju Cho, D. Kim
  IEEE International Joint Conference on Neural Networks (IJCNN), 2021.

• “Dapas: Denoising autoencoder to prevent adversarial attack in semantic segmentation”
  Seungju Cho, T. Jun, B. Oh, D. Kim
  IEEE International Joint Conference on Neural Networks (IJCNN), 2020.

• 이인영, 박진영, 손민석, 조승주, 정민기,김창익, "한국형 가강수량 영상 데이터셋과 딥러닝을 활용한 한반도 초단기 기상영상 예측", 대한전자공학회 하계학술대회, 2022.

• 김윤지, 조승주, 권명준, 김창익, "픽셀 드랍을 이용한 레이블을 사용하지 않는 전이 기반 적대적 공격," 대한전자공학회 추계학술대회, 2021.

• 손민지, 권명준, 조승주, 김창익, "탄성변환을 이용한 적대적 예제의 전이성 향상," 대한전자공학회 추계학술대회, 2021.

• 김정수, 박병준, 조승주, 최명애, 박진영, 서형수, 김창익, "트랩 카메라 영상 데이터셋을 활용한 옵티컬 플로우 퓨전 딥러닝 네트워크," 대한전자공학회 추계학술대회, 2021.

Awards & Honors

• Best Student Paper Award, Summer Annual Conference of IEIE 2022

• Best Paper Award, Autumn Annual Conference of IEIE 2021

Experiences

• Big Data Research Center at Asan Medical Center (08. 2020 – 02. 2021)

·          Part time job

• Carnegie Mellon University (08. 2019 - 02. 2020)

·          Visiting student

·          Development of robot delivery sytem using raspberry-pi

·          Sponsored by the Ministry of Science and ICT of Korea

• National Institute for Mathematical Sciences (01. 2018 - 02. 2018)

  ·          Intern

·         Building mathematical puzzle game using Unity platform