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Seong Joon Oh

Seong Joon Oh

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Professor

About

Scalable Trustworthy AI(STAI) 그룹을 이끌며 AI 시스템을 대규모에서도 신뢰할 수 있고 설명 가능하며 인간의 의도에 부합하도록 만드는 연구를 한다. 컴퓨터 비전과 머신러닝의 프라이버시·보안 측면을 포함해 신뢰성을 AI의 실용적 영향력 확대의 핵심으로 본다.

Research keywords

Machine learningartificial intelligencesafety and trustworthiness

Selected publications

  • Playing repeated games with large language modelsNature Human Behaviour · 2025
  • ProPILE: Probing Privacy Leakage in Large Language ModelsNeurIPS (Advances in Neural Information Processing Systems 36) · 2023
  • Dataset Condensation via Efficient Synthetic-Data ParameterizationICML (International Conference on Machine Learning) · 2022
  • Rethinking Spatial Dimensions of Vision TransformersICCV (IEEE/CVF International Conference on Computer Vision) · 2021
  • Probabilistic Embeddings for Cross-Modal RetrievalCVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition) · 2021
  • AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant WeightsICLR (International Conference on Learning Representations) · 2021

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