최민영(Choe, Min-Yeong)

• 2023~2024 학부연구생

• 2025 석사과정

• 담당 및 관심분야

  • Backdoor attacks for language model in federated learning

  • Privacy aspects in federated learning - gradient inversion, data reconstruction

  • Knowledge-aware approaches for efficiency, security and privacy for Transformer-based language model

    • Knowledge Editing

    • Model quantization

김승한(Kim, Seung-Han)

• 2024 학부연구생

• 2025 석사과정

• 담당 및 관심분야

  • Backdoor attacks for language model in federated learning

  • Interpretability of Transformer-based language model

  • Knowledge-aware approaches for efficiency, security and privacy for Transformer-based language model

    • Knowledge Editing

    • Model quantization

임창훈(Lim, Chang-Hoon)

• 2025 학부연구생

• 담당 및 관심분야

  • Backdoor attacks for language model in federated learning

  • Knowledge-aware approaches for efficiency, security and privacy for Transformer-based language model

    • Model quantization