Irene Amerini
Irene Amerini is Associate Professor at the Department of Computer, Control and Management Engineering A. Ruberti of Sapienza University of Rome, Italy where she is leading the Computer VIsion and Multimedia Forensics Research Team at ALCORLab.
From 2019-2022, she was an Assistant Professor at DIAG, Sapienza University of Rome and previously a postdoctoral researcher at the Image Forensics and Security Lab, Media Integration and Communication Center, University of Florence (Italy). In 2018 she obtained a Visiting Research Fellowship at Charles Sturt University (Australia) offered by the Australian Government – Department of Education and Training through the Endeavour Scholarship & Fellowship program and the Italian Habilitation for Associate Professor in Computer Science and Telecommunications.
In 2010 she spent part of her PhD course at the Digital Data Embedding Laboratory, Department of Electrical and Computer Engineering, Binghamton University (US). In 2011 she received the Ph.D. in computer engineering, multimedia and telecommunication from the University of Florence (Italy) with the thesis “Image forensics: source identification and tampering detection”.
In 2019 she co-organized the Woman In Computer Vision Workshop (WiCV) at CVPR 2019 in Long Beach, California, in 2020 the Woman In Computer Vision Workshop (WiCV) at ECCV and the W4PR (Woman at ICPR Workshop) in conjunction with ICPR 2021.
She is currently a member of the IEEE Forensics and Security Technical Committee (IFS-TC), EURASIP TAC Biometrics, Data Forensics, and Security and IAPR TC6 - Computational Forensics Committee.
Her main research activities include computer vision, pattern recognition, adversarial machine learning and multimedia forensics.
List of publications on dblp or Google scholar
Email: amerini AT diag.uniroma1.it
- Multimedia forensics and deepfake analysis
- Machine learning and deep learning for image and video analysis
- Digital image and video processing
- Adversarial machine learning/deep learning
- Computer vision and monocular depth estimation
Member of the IEEE Information Forensics and Security Technical Committee and of the EURASIP TAC Biometrics, Data Forensics and Security. She is Associate Editor of IEEE Access journal and Guest Editor of several international journals.
In 2018 she obtained the Endeavour Research Fellowship Award offered by the Australian Government, Department of Education and Training.
She received the best paper award at the “The International Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia” (eForensics) in 2009 and the highly cited research award from Signal Processing: Image Communication Journal in 2016.
Highly Cited Paper from Web of Science from 2017 to 2019 with the work “A SIFT–based forensic method for copy-move attack detection and transformation recovery”. IEEE Transactions on Information Forensics and Security, 6(3):1099–1110, 2011.
Membro di
Awards
Ultime pubblicazioni
| Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it in Machine Learning and Principles and Practice of Knowledge Discovery in Databases | 2025 |
| A guided-based approach for deepfake detection: RGB-depth integration via features fusion in PATTERN RECOGNITION LETTERS | 2024 |
| A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching in International Geoscience and Remote Sensing Symposium (IGARSS) | 2024 |
| A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2024 |
| ABC-CapsNet: Attention based Cascaded Capsule Network for Audio Deepfake Detection in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | 2024 |
| CMDD: A novel multimodal two-stream CNN deepfakes detector in Proceedings of the 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval co-located with the 46th European Conference on Information Retrieval (ECIR 2024) | 2024 |
| Continuous fake media detection: Adapting deepfake detectors to new generative techniques in COMPUTER VISION AND IMAGE UNDERSTANDING | 2024 |