Search Results for author: Sangyup Lee

Found 4 papers, 3 papers with code

One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework

1 code implementation1 May 2021 Shahroz Tariq, Sangyup Lee, Simon S. Woo

Beyond detecting a single type of DF from benchmark deepfake datasets, we focus on developing a generalized approach to detect multiple types of DFs, including deepfakes from unknown generation methods such as DeepFake-in-the-Wild (DFW) videos.

Face Swapping

Integrative Tensor-based Anomaly Detection System For Satellites

no code implementations ICLR 2020 Youjin Shin, Sangyup Lee, Shahroz Tariq, Myeong Shin Lee, OkchulJung, Daewon Chung, Simon Woo

Detecting anomalies is of growing importance for various industrial applications and mission-critical infrastructures, including satellite systems.

Anomaly Detection

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