audio-visual forensics 1deepfake detection 1model evaluation 1multimodal robustness 1semantic mismatch 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
Sharayu Nilesh Deshmukh, Kailash A. Hambarde, Joana C. Costa +2
The paper introduces a new evaluation class for DeepFake detection that captures semantic inconsistencies between audio and video (RARV‑SMM) and tests how current models handle suc…
cs.CV2026
VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
Sharayu N. Deshmukh, Md Rashidunnabi, Nelton Tiago Gemo +3
Deepfake image detection is served by three fundamentally different paradigms - commercial APIs, zero-shot vision-language models (LLMs), and open-source detectors - that are rarel…