연구실적

• [학술지논문] PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2023, v.20no.1, 331-342
  SCIE
• [학술지논문] MPGAN: Membership Privacy-Preserving GAN British Machine Vision Conference, 2022, v.1no.1, 1-12
• Regularizing Hard Examples Improves Adversarial Robustness JOURNAL OF MACHINE LEARNING RESEARCH, 2025, v.26, 20
  SCIE Scopus dColl.
• 멀티모달 대조 학습 모델의 프라이버시 보호를 위한 라벨 차등 프라이버시 연구 정보처리학회 논문지, 2025, v.14 no.5, 289-296
  KCI dColl.
• 선별적 그래디언트 암호화를 통한 연합 학습에서의 모델 전도 공격 방어 기법 정보처리학회 논문지, 2025, v.14 no.4, 257-264
  KCI dColl.
• 쿼리와 가상 문서 임베딩 결합을 활용한 제로샷 밀집 기반 검색 성능 향상 연구 정보처리학회 논문지, 2025, v.14 no.3, 161-171
  KCI dColl.
• 테이블형 데이터의 RAG 모델 성능 개선을 위한 체계적인 프레임워크 연구 정보처리학회 논문지, 2025, v.14 no.6, 400-416
  KCI dColl.
• 합성 데이터를 활용한 Large Language Model의 인종 및 성별 교차 편향 측정 벤치마크 정보처리학회 논문지, 2025, v.14 no.2, 82-94
  KCI dColl.
• Evaluation of Malware Classification Models for Heterogeneous Data Sensors, 2024, v.24 no.1, 288
  SCIE Scopus dColl.
• 검색 증강 생성(RAG) 기술의 최신 연구 동향에 대한 조사 정보처리학회 논문지, 2024, v.13 no.9, 429-436
  KCI dColl.
• 특정 속성을 유지하는 비식별화를 위한 StarGAN 고도화 정보과학회 컴퓨팅의 실제 논문지, 2024, v.30 no.4, 199-204
  KCI dColl.
• Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks IEEE Transactions on Emerging Topics in Computational Intelligence, 2022 , 1-12
  SCIE Scopus dColl.
• Anomaly Detection by Learning Dynamics From a Graph IEEE ACCESS, 2020, v.8, 64356-64365
  SCIE Scopus dColl.
• [학술지논문] Regularizing Hard Examples Improves Adversarial Robustness JOURNAL OF MACHINE LEARNING RESEARCH, 2025, v.26no.1, 1-48
  SCIE
• [학술지논문] 멀티모달 대조 학습 모델의 프라이버시 보호를 위한 라벨 차등 프라이버시 연구 정보처리학회 논문지, 2025, v.14no.5, 289-296
  KCI
• [학술지논문] 쿼리와 가상 문서 임베딩 결합을 활용한 제로샷 밀집 기반 검색 성능 향상 연구 정보처리학회 논문지, 2025, v.14no.3, 161-171
  KCI
• [학술지논문] DAFA: Distance-Aware Fair Adversarial Training International Conference on Learning Representations (ICRL), 2024, v.0no.0, 0-0
  SCIE
• [학술지논문] 검색 증강 생성(RAG) 기술의 최신 연구 동향에 대한 조사 정보처리학회 논문지 (KTSDE), 2024, v.13no.9, 429-436
  KCI
• [학술지논문] Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2023, v.0no.0, 0-0
  SCIE
• [학술지논문] PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising Proceedings of Conference on Neural Information Processing Systems (NeurIPS), 2023, v.0no.0, 0-0
  SCIE
• [학술지논문] Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE , 2022, v.6no.4, 982-993
  SCIE
• [학술지논문] Learn2Evade: Learning-based Generative Model for Evading PDF Malware Classifiers IEEE Transactions on Artificial Inteligence, 2021, v.2no.4, 299-313
  Scopus
• [학술발표] DAFA: Distance-Aware Fair Adversarial Training 12th International Conference on Learning Representations (ICLR), 오스트리아, 2024-06-10 12th International Conference on Learning Representations (ICLR), 2024
• [학술발표] VFLIP: A backdoor Defense for Vertical Federated Learning via Identification and Purification in Proceedings of the 29th European Symposium on Research in Computer Security (ESORICS), 폴란드, 2024-09-19 in Proceedings of the 29th European Symposium on Research in Computer Security (ESORICS), 2024
• [학술발표] Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 홍콩, 2023-10-12 International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2023
• [학술발표] New Insights for the Stability-Plasticity Dilemma in Online Continual Learning International Conference on Learning Representations (ICLR), 르완다, 2023-05-10 International Conference on Learning Representations (ICLR), 2023
• [학술발표] PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising Proceedings of Conference on Neural Information Processing Systems (NeurIPS), 미국, 2023-12-20 Proceedings of Conference on Neural Information Processing Systems (NeurIPS), 2023

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