9 citations · 24 across the 4 of their papers we have counts for
4 papers
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
Shahroz Tariq, Binh M. Le, Simon S. Woo
Time series anomaly detection is extensively studied in statistics, economics, and computer science. Over the years, numerous methods have been proposed for time series anomaly det…
DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images
Young Oh Bang, Simon S. Woo
Due to the advancement of Generative Adversarial Networks (GAN), Autoencoders, and other AI technologies, it has been much easier to create fake images such as "Deepfakes". More re…
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images
Binh M. Le, Simon S. Woo
The rapid progression of Generative Adversarial Networks (GANs) has raised a concern of their misuse for malicious purposes, especially in creating fake face images. Although many…
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
Binh M. Le, Simon S. Woo
Despite significant advancements of deep learning-based forgery detectors for distinguishing manipulated deepfake images, most detection approaches suffer from moderate to signific…