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ECE Seminar Series: Xinwei Zhao
Start Date: 1/15/2019Start Time: 4:00 PM
End Date: 1/15/2019End Time: 5:00 PM

Event Description
Title: Using Deep Learning Techniques for Image Source Falsification

Abstract:
Deep learning techniques have become popular for performing camera model identification. To expose weaknesses in these methods, we propose a new anti-forensic framework that utilizes a generative adversarial network (GAN) to falsify an image's source camera model. Our proposed attack uses the generator trained in the GAN to produce an image that can fool a CNN-based camera model identification classifier. Moreover, our proposed attack will only introduce a minimal amount of distortion to the falsified image that is not perceptible to human eyes. By conducting experiments on a large amount of data, we show that the proposed attack can successfully fool a state-of-art camera model identification CNN classifier with 98% probability and maintain high image quality.

Link of the paper: https://ieeexplore.ieee.org/document/8451503
Contact Information:
Name: Sean Clark
Phone: 2158956658
Email: swc37@drexel.edu
Location:
Bossone 302
Audience:
  • Everyone
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