Tariq, Shahroz

FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning

Kim, M., Tariq, S., & Woo, S. S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 118

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Khalid, H., Tariq, S., Kim, M., & Woo, S. S. (2021) · arXiv

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 116

Alert Fatigue in Security Operations Centres: Research Challenges and Opportunities

Tariq, S., Baruwal Chhetri, M., Nepal, S., & Paris, C. (2025) · ACM Computing Surveys

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 101

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

Tariq, S., Lee, S., & Woo, S. (2021) · Proceedings of the Web Conference 2021

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 91

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users

Tariq, S., Woo, S. S., Singh, P., Irmalasari, I., Gupta, S., & Gupta, D. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Digital Media Forensic DetectionExplainable Artificial Intelligence (XAI)

Cited by 15