Publication:
Detecting GAN-generated Synthetic Images Using Semantic Inconsistencies by Danial Samadi Vahdati and Matthew C. Stamm, Electronic Imaging 2023,Media Watermarking, Security, and Forensics, Accepted
Focused on Media Forensics, Deep learning, Image synthesis with GANs and Image/video analysis with Artificial Intelligence
Fluent in coding with python and utilizing Tensorflow, Pytorch, OpenCV and various related libraries.
Used the preexisting Mislnet and by adding some features increased the accuracy of camera source identification using a Forensic Similarity Graph by 6.3 percent, from 93 to 99.3 percent.
Python, C, C++, Matlab, R
Tensorflow, Pytorch, Deepfacelab, Visual Studio, Natural Language Processing, Reinforcement Learning, Xcode, Deepfacelab, Deep Learning, Machine Learning, Forgery Detection, Deepfake Detection, GAN detection, Image Synthesis
You can contact me at either of these mailboxes:
ds3729@drexel.edu
danial.samadivahdati@drexel.edu
danialvahdati1998@gmail.com
You can access some of my projects and the code used in some of my publication here:
GitHub
To connect with me or view my professional life in detail visit here:
Linkedin
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