3 papers
cs.SD2026
Leveraging large multimodal models for audio-video deepfake detection: a pilot study
Songjun Cao, Yuqi Li, Yunpeng Luo +2
Audio-visual deepfake detection (AVD) is increasingly important as modern generators can fabricate convincing speech and video. Most current multimodal detectors are small, task-sp…
cs.SD2025
SpecWav-Attack: Leveraging Spectrogram Resizing and Wav2Vec 2.0 for Attacking Anonymized Speech
Yuqi Li, Yuanzhong Zheng, Zhongtian Guo +3
This paper presents SpecWav-Attack, an adversarial model for detecting speakers in anonymized speech. It leverages Wav2Vec2 for feature extraction and incorporates spectrogram resi…
cs.MM2024
SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks
Yuqi Li, Yuanzhong Zheng, Yaoxuan Wang +2
In the realm of DeepFake detection, the challenge of adapting to various synthesis methodologies such as Faceswap, Deepfakes, Face2Face, and NeuralTextures significantly impacts th…