SpoC: Spoofing Camera Fingerprints

11/27/2019
by   Davide Cozzolino, et al.
28

Thanks to the fast progress in synthetic media generation, creating realistic false images has become very easy. Such images can be used to wrap rich fake news with enhanced credibility, spawning a new wave of high-impact, high-risk misinformation campaigns. Therefore, there is a fast-growing interest in reliable detectors of manipulated media. The most powerful detectors, to date, rely on the subtle traces left by any device on all images acquired by it. In particular, due to proprietary in-camera processes, like demosaicing or compression, each camera model leaves trademark traces that can be exploited for forensic analyses. The absence or distortion of such traces in the target image is a strong hint of manipulation. In this paper, we challenge such detectors to gain better insight into their vulnerabilities. This is an important study in order to build better forgery detectors able to face malicious attacks. Our proposal consists of a GAN-based approach that injects camera traces into synthetic images. Given a GANgenerated image, we insert the traces of a specific camera model into it and deceive state-of-the-art detectors into believing the image was acquired by that model. Likewise, we deceive independent detectors of synthetic GAN images into believing the image is real. Experiments prove the effectiveness of the proposed method in a wide array of conditions. Moreover, no prior information on the attacked detectors is needed, but only sample images from the target camera.

READ FULL TEXT

page 1

page 2

page 7

page 13

research
11/01/2022

On the detection of synthetic images generated by diffusion models

Over the past decade, there has been tremendous progress in creating syn...
research
04/25/2021

Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors

Visually realistic GAN-generated images have recently emerged as an impo...
research
08/25/2018

Noiseprint: a CNN-based camera model fingerprint

Forensic analyses of digital images rely heavily on the traces of in-cam...
research
08/07/2020

Fighting Deepfake by Exposing the Convolutional Traces on Images

Advances in Artificial Intelligence and Image Processing are changing th...
research
03/03/2016

First Steps Toward Camera Model Identification with Convolutional Neural Networks

Detecting the camera model used to shoot a picture enables to solve a wi...
research
08/28/2020

On the Reliability of the PNU for Source Camera Identification Tasks

The PNU is an essential and reliable tool to perform SCI and, during the...
research
11/04/2020

The Forchheim Image Database for Camera Identification in the Wild

Image provenance can represent crucial knowledge in criminal investigati...

Please sign up or login with your details

Forgot password? Click here to reset