Research · Deepfake detection
Papers and Thesis projects
Papers
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Ghasemzadeh F, Moghaddam T, Dai J, Yun J, Kim DD. Towards Generalized Detection of Face-Swap Deepfake Images. In Proceedings of the 3rd ACM Workshop on the Security Implications of Deepfakes and Cheapfakes 2024 Jul 1 (pp. 8-13). Link: https://dl.acm.org/doi/10.1145/3660354.3660359
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Juncheng Wang, Dan Dongseong Kim, Towards Improving the Robustness of Deepfake Audio Detection With Denoising Methods, WDC with AsiaCCS 2026. Link: https://dl.acm.org/doi/10.1145/3803629.3803671
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Aoran Zhang et al. Lightweight Preprocessing Defenses for Robust Deepfake Detection Against Adversarial Perturbations, WDC with AsiaCCS 2026. Link: https://dl.acm.org/doi/10.1145/3803629.3803673
Thesis reports
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J. Wang, Towards improving the robustness of Deepfake Audio Detection with Denoising Methods, Master of Cyber Security, Oct 2025
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A. Zhang, Robustifying Deep Fake Detection: A Study on Preprocessing Pipelines Against Adversarial Perturbations, Master of Cyber Security, Oct 2025
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R. Dufty, Visualising the Effect of Training Data Augmentation on Deepfake Detection Using Explainable AI Techniques, Master of Cyber Security, Oct 2025
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J. Dai, Pratical Detection of Adversarial Face-Swap Deepfakes (Improved), Master of Computer Science, Nov 2024
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F. Ghasemzadeh, Practical Detection of Adversarial Face-Swap Deepfakes for Social Media Platforms, Master of Data Science, Nov 2023.