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교수진 소개

  • 부교수
  • 우사이먼성일
  • 2022 SKKU Fellowship


이상징후탐지, 데이터 마이닝/기계학습 응용, 보안, 프라이버시, 인간과컴퓨터상호작용, 인공위성시스템, 융합


  • Ph.D. Computer Science, 2017 University of Southern California (USC), Los Angeles, CA


  • 연구원, 미국 항공우주국 제트추진연구소 (NASA-JPL)

학술지 논문

  • (2023)  Evaluating Racial Bias in Face Recognition APIs using Deepfakes.  COMPUTER.  56,  1
  • (2023)  Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas.  SUSTAINABLE CITIES AND SOCIETY.  91,  1
  • (2023)  DID We Miss Anything?: Towards Privacy-Preserving Decentralized ID Architecture.  IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING.  1,  1
  • (2023)  An overhead-free region-based JPEG framework for task-driven image compression.  PATTERN RECOGNITION LETTERS.  165,  1
  • (2022)  PasswordTensor: Analyzing and explaining password strength using tensor decomposition.  COMPUTERS & SECURITY.  116, 
  • (2022)  A Survey of Deep Learning-Based Object Detection Methods and Datasets for Overhead Imagery.  IEEE ACCESS.  10,  1
  • (2022)  ORVAE: One-Class Residual Variational Autoencoder for Voice Activity Detection in Noisy Environment.  NEURAL PROCESSING LETTERS.  54,  3
  • (2021)  Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet.  APPLIED SOFT COMPUTING.  105,  1
  • (2021)  Neural network laundering: Removing black-box backdoor watermarks from deep neural networks.  COMPUTERS & SECURITY.  106, 
  • (2021)  Will EU's GDPR Act as an Effective Enforcer to Gain Consent?.  IEEE ACCESS.  9,  1
  • (2021)  A Security Analysis of Blockchain-Based Did Services.  IEEE ACCESS.  9,  1
  • (2020)  Real Time Localized Air Quality Monitoring and Prediction Through Mobile and Fixed IoT Sensing Network.  IEEE ACCESS.  8, 
  • (2020)  CAN-ADF: The controller area network attack detection framework.  COMPUTERS & SECURITY.  94,  1
  • (2019)  Design and evaluation of 3D CAPTCHAs.  COMPUTERS & SECURITY.  82, 
  • (2019)  You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems.  IEEE ACCESS.  7, 
  • (2019)  Using Episodic Memory for User Authentication.  ACM TRANSACTIONS ON PRIVACY AND SECURITY.  22,  2
  • (2018)  Password typographical error resilience in honey encryption.  COMPUTERS & SECURITY.  1,  1


  • 국가보안연구소 원장상, 한국정보보호학회 동계학술대회 2018
  • 장려상, 정보보호 데이터첼린지 2017
  • 우수논문상, 한국정보보호학회 동계학술대회 2017
  • 우수논문상, WISA 학회 2016


  • (2023)  IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation.  International Joint Conference on Artificial Intelligence.  중국
  • (2023)  MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography.  ACM SIGAPP Symposium on Applied Computing.  에스토니아
  • (2023)  Rotated-DETR: an End-to-End Transformer-based Oriented Object Detector for Aerial Images.  ACM SIGAPP Symposium on Applied Computing.  에스토니아
  • (2023)  S-ViT: Sparse Vision Transformer for Accurate Face Recognition.  ACM SIGAPP Symposium on Applied Computing.  에스토니아
  • (2022)  A2: Adaptive Augmentation for Mitigating Dataset Bias.  Asian Conference on Computer Vision.  중국
  • (2022)  RCRL: Replay-based Continual Representation Learning in Multi-task Super-Resolution.  IEEE International Conference on Advanced Video and Signal-Based Surveillance.  스페인
  • (2022)  GLAMD: Global and Local Attention Mask Distillation for Object Detectors.  European Conference on Computer Vision.  이스라엘
  • (2022)  Samba: Identifying Inappropriate Videos for Young Children on YouTube.  ACM Conference on Information and Knowledge Management.  미국
  • (2022)  Selective Tensorized Multi-layer LSTM for Orbit Prediction.  ACM Conference on Information and Knowledge Management.  미국
  • (2022)  Sliding Cross Entropy for Self-Knowledge Distillation.  ACM Conference on Information and Knowledge Management.  미국
  • (2022)  Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability.  ACM Conference on Information and Knowledge Management.  미국
  • (2022)  Evading Deepfake Detectors via High-Quality Face Pre-Processing Methods.  IEEE International Conference on Pattern Recognition.  캐나다
  • (2022)  Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series.  ACM SIGKDD Conference on Knowledge Discovery and Data Mining.  미국
  • (2022)  Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack.  International World Wide Web Conference.  프랑스
  • (2022)  BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos.  International World Wide Web Conference.  프랑스
  • (2022)  PTD: Privacy-Preserving Human Face Processing Framework using Tensor Decomposition.  ACM SIGAPP Symposium on Applied Computing.  미국
  • (2022)  Residual Size is Not Enough for Anomaly Detection: Improving Detection Performance using Residual Similarity in Multivariate Time Series.  ACM SIGAPP Symposium on Applied Computing.  미국
  • (2022)  ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images.  AAAI Conference on Artificial Intelligence.  미국
  • (2021)  FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset.  Conference on Neural Information Processing Systems.  캐나다
  • (2021)  VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection.  Conference on Neural Information Processing Systems.  캐나다