2 papers
cs.SD2026
Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detection
Akanksha Chuchra, Shukesh Reddy, Sudeepta Mishra +2
While Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs) have shown strong generalisation in detecting image and video deepfakes, their use for audio deepfa…
cs.CV2025
AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations
Zhixi Cai, Kartik Kuckreja, Shreya Ghosh +5
The rapid surge of text-to-speech and face-voice reenactment models makes video fabrication easier and highly realistic. To encounter this problem, we require datasets that rich in…