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Matthew C. Stamm

7 accepted papers

2025

Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images

CVPR 2025poster

The emergence of advanced AI-based tools to generate realistic images poses significant challenges for forensic detection and source attribution, especially as new generative techniques appear rapidly. Traditional methods often fail to generalize to unseen generators due to reliance on features spec…

Cited by 1SourcePDFScholar
2022

Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach

ICASSP 2022accepted

In recent years, audio and video deepfake technology has advanced relentlessly, severely impacting people’s reputation and reliability. Several factors have facilitated the growing deepfake threat. On the one hand, the hyper-connected society of social and mass media enables the spread of multimedia…

Cited by 0SourceScholar
2017

On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection

ICASSP 2017accepted

Detecting image resampling in re-compressed images is a very challenging problem. Existing approaches to image resampling detection operate by building pre-selected model to locate periodicities in linear predictor residues. Additionally, if an image was JPEG compressed before resampling, existing t…

Cited by 0SourceScholar