Ba, Zhongjie

AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake

Yang, W., Zhou, X., Chen, Z., Guo, B., Ba, Z., Xia, Z., Cao, X., & Ren, K. (2023) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 198

Locate and Verify: A Two-Stream Network for Improved Deepfake Detection

Shuai, C., Zhong, J., Wu, S., Lin, F., Wang, Z., Ba, Z., Liu, Z., Cavallaro, L., & Ren, K. (2023) · Proceedings of the 31st ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 55

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

Pan, K., Yin, Y., Wei, Y., Lin, F., Ba, Z., Liu, Z., Wang, Z., Cavallaro, L., & Ren, K. (2023) · Proceedings of the 31st ACM International Conference on Multimedia

Digital Media Forensic DetectionDomain Adaptation and Few-Shot Learning

Cited by 37

FTDKD: Frequency-Time Domain Knowledge Distillation for Low-Quality Compressed Audio Deepfake Detection

Wang, B., Tang, Y., Wei, F., Ba, Z., & Ren, K. (2024) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 20

AWaveFormer: Audio Wavelet Transformer Network for Generalized Audio Deepfake Detection

Wang, R., Chen, Z., Wang, B., Ba, Z., & Ren, K. (2025) · IEEE Transactions on Audio, Speech and Language Processing

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 10

ProFake: Detecting Deepfakes in the Wild against Quality Degradation with Progressive Quality-adaptive Learning

Xu, H., Wang, Y., Wang, Z., Ba, Z., Liu, W., Jin, L., Weng, H., Wei, T., & Ren, K. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 2