Matthew C. Stamm
Drexel University
H-index: 33
North America-United States
Top articles of Matthew C. Stamm
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data | arXiv preprint arXiv:2404.08814 | Aref Azizpour Tai D Nguyen Manil Shrestha Kaidi Xu Edward Kim | 2024/4/12 |
Videofact: Detecting video forgeries using attention, scene context, and forensic traces | Tai D Nguyen Shengbang Fang Matthew C Stamm | 2024 | |
Beyond Deepfake Images: Detecting AI-Generated Videos | arXiv preprint arXiv:2404.15955 | Danial Samadi Vahdati Tai D Nguyen Aref Azizpour Matthew C Stamm | 2024/4/24 |
Defending Low-Bandwidth Talking Head Videoconferencing Systems From Real-Time Puppeteering Attacks | Danial Samadi Vahdati Tai Duc Nguyen Matthew C Stamm | 2023 | |
Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions] | Davide Salvi Clara Borrelli Paolo Bestagini Fabio Antonacci Matthew Stamm | 2023/9/7 | |
Open Set Synthetic Image Source Attribution | Shengbang Fang Tai D Nguyen Matthew C Stamm | 2023/11/20 | |
Comprehensive dataset of synthetic and manipulated overhead imagery for development and evaluation of forensic tools | Brandon B May Kirill Trapeznikov Shengbang Fang Matthew Stamm | 2023/6/28 | |
Attacking image splicing detection and localization algorithms using synthetic traces | IEEE Transactions on Information Forensics and Security | Shengbang Fang Matthew C Stamm | 2023/12/27 |
TIMIT-TTS: A text-to-speech dataset for multimodal synthetic media detection | IEEE Access | Davide Salvi Brian Hosler Paolo Bestagini Matthew C Stamm Stefano Tubaro | 2023/5/15 |
Refined GAN-Based Attack Against Image Splicing Detection and Localization Algorithms | Shengbang Fang Matthew C Stamm | 2023/11/15 | |
Detecting gan-generated synthetic images using semantic inconsistencies | Electronic Imaging | Danial Samadi Vahdati Matthew C Stamm | 2023/1/16 |
Semantic Adversarial Attacks via Diffusion Models | arXiv preprint arXiv:2309.07398 | Chenan Wang Jinhao Duan Chaowei Xiao Edward Kim Matthew Stamm | 2023/9/14 |
Making generated images hard to spot: A transferable attack on synthetic image detectors | Xinwei Zhao Matthew C Stamm | 2022/8/21 | |
Learned forensic source system for identification of image capture device models and forensic similarity of digital images | 2022/6/23 | ||
Deepfake speech detection through emotion recognition: a semantic approach | Emanuele Conti Davide Salvi Clara Borrelli Brian Hosler Paolo Bestagini | 2022/5/23 | |
Anti-forensic attacks using generative adversarial networks | Multimedia forensics | Matthew C Stamm Xinwei Zhao | 2022/4/2 |
Robust camera model identification using demosaicing residual features | Multimedia Tools and Applications | Chen Chen Matthew C Stamm | 2021/3 |
The effect of class definitions on the transferability of adversarial attacks against forensic CNNs | arXiv preprint arXiv:2101.11081 | Xinwei Zhao Matthew C Stamm | 2021/1/26 |
A transferable anti-forensic attack on forensic CNNs using a generative adversarial network | arXiv preprint arXiv:2101.09568 | Xinwei Zhao Chen Chen Matthew C Stamm | 2021/1/23 |
Do deepfakes feel emotions? A semantic approach to detecting deepfakes via emotional inconsistencies | Brian Hosler Davide Salvi Anthony Murray Fabio Antonacci Paolo Bestagini | 2021 |
Co-Authors
