교수소개

이상엽 사진

교수

이상엽
직위(직급)
교수
전화번호
032-835-8494
이메일
sangyup.lee@inu.ac.kr
사이트
https://sites.google.com/view/secai-lab-inu/home
연구분야
딥러닝 기반 시계열 분석, 이상 탐지 및 표현 학습, 인공지능 보안과 미디어 포렌식
세부내용

연구실적: Google scholar - https://scholar.google.com/citations?user=2u9ORXkAAAAJ&hl=ko


<논문>


Saliency-Aware Time Series Anomaly Detection for Space Applications, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2024


A^2: Adaptive Augmentation for Effectively Mitigating Dataset Bias, Proceedings of the Asian Conference on Computer Vision (ACCV), December 2022


Bznet: Unsupervised multi-scale branch zooming network for detecting low-quality deepfake videos, Proceedings of the ACM Web Conference 2022, April 2022


Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet, Applied Soft Computing, July 2021


Tar: Generalized forensic framework to detect deepfakes using weakly supervised learning, IFIP International Conference on ICT Systems Security and Privacy Protection, June 2021


One detector to rule them all: Towards a general deepfake attack detection framework, Proceedings of the Web Conference 2021, April 2021


Itad: integrative tensor-based anomaly detection system for reducing false positives of satellite systems, Proceedings of the 29th ACM International Conference on Information & Knowledge Management, October 2020


CAN-ADF: The controller area network attack detection framework, Computers & Security, July 2020


CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network, Proceedings of the 35th Annual ACM Symposium on Applied Computing, March 2020


Detecting anomalies in space using multivariate convolutional LSTM with mixtures of probabilistic PCA, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 2019


Robust anomaly detection in cyber physical system using kullback-leibler divergence in error distributions, 5th Workshop on Mining and Learning from Time Series (MileTS'19), August 2019


Gan is a friend or foe? a framework to detect various fake face images, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, April 2019


Detecting both machine and human created fake face images in the wild, Proceedings of the 2nd International Workshop on Multimedia Privacy and Security, October 2018


Detecting In-vehicle CAN message attacks using heuristics and RNNs, International Workshop on Information and Operational Technology Security, September 2018