Hampel-Arias, Zigfried

Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning

Lewis, J. K., Toubal, I. E., Chen, H., Sandesera, V., Lomnitz, M., Hampel-Arias, Z., Prasad, C., & Palaniappan, K. (2020) · 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 80

Multimodal Approach for DeepFake Detection

Lomnitz, M., Hampel-Arias, Z., Sandesara, V., & Hu, S. (2020) · 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 30

Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks

Mejia, F. A., Gamble, P., Hampel-Arias, Z., Lomnitz, M., Lopatina, N., Tindall, L., & Barrios, M. A. (2019) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 13