Search Results for author: Edoardo Daniele Cannas

Found 4 papers, 1 papers with code

An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images

no code implementations19 Sep 2022 Lydia Abady, Edoardo Daniele Cannas, Paolo Bestagini, Benedetta Tondi, Stefano Tubaro, Mauro Barni

While we focus mostly on forensic techniques explicitly tailored to the detection of AI-generated synthetic contents, we also review some methods designed for general splicing detection, which can in principle also be used to spot AI manipulate images

Misinformation

Amplitude SAR Imagery Splicing Localization

no code implementations7 Jan 2022 Edoardo Daniele Cannas, Nicolò Bonettini, Sara Mandelli, Paolo Bestagini, Stefano Tubaro

Synthetic Aperture Radar (SAR) images are a valuable asset for a wide variety of tasks.

Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection

no code implementations16 Nov 2020 Luca Bondi, Edoardo Daniele Cannas, Paolo Bestagini, Stefano Tubaro

The fast and continuous growth in number and quality of deepfake videos calls for the development of reliable detection systems capable of automatically warning users on social media and on the Internet about the potential untruthfulness of such contents.

Data Augmentation Face Swapping

Video Face Manipulation Detection Through Ensemble of CNNs

2 code implementations16 Apr 2020 Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli, Luca Bondi, Paolo Bestagini, Stefano Tubaro

In this paper, we tackle the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques.

 Ranked #1 on DeepFake Detection on FaceForensics++ (using extra training data)

DeepFake Detection Detecting Image Manipulation +4

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