I am a PhD student at Purdue University, member of the VIPER Lab, and advised by Prof. Edward Delp.

My research focuses on machine learning, machine perception and image/video forensics (DARPA MediFor Program).

I worked with the Pixel Camera Team at Google during Summer 2018. I was a Deep Learning Research Intern at NVIDIA during Summer 2017.

I received a Bachelor's degree in Telecommunications Systems Engineering from UPC, where I collaborated with the NanoSat Lab.


Publications


Deepfake Video Detection Using Recurrent Neural Networks

D. Güera, E. J. Delp

IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS)

November 2018 - New Zealand


Weighted Hausdorff Distance: A Loss Function for Object Localization

J. Prat, D. Güera, Y. Chen, E. J. Delp

arXiv:1806.07564

June 2018


Fooling PRNU-Based Detectors Through Convolutional Neural Networks

N. Bonettini, L. Bondi, D. Güera, S. Mandelli, P. Bestagini, S. Tubaro, E. J. Delp

IEEE European Signal Processing Conference (EUSIPCO) - Special Session: Adversarial Multimedia Forensics

September 2018 - Rome, Italy


Reliability Map Estimation For CNN-Based Camera Model Attribution

D. Güera, S. K. Yarlagadda, P. Bestagini, F. Zhu, S. Tubaro, E. J. Delp

IEEE Winter Conference on Applications of Computer Vision (WACV)

March 2018 - Lake Tahoe, NV


Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

S. K. Yarlagadda, D. Güera, P. Bestagini, F. Zhu, S. Tubaro, E. J. Delp

IS&T International Symposium on Electronic Imaging (EI)

January 2018 - Burlingame, CA


Quality-Adaptive Deep Learning For Pedestrian Detection

K. Tahboub, D. Güera, A. R. Reibman, E. J. Delp

IEEE International Conference on Image Processing (ICIP)

September 2017 - Beijing, China


A Counter-Forensic Method For CNN-Based Camera Model Identification

D. Güera, Y. Wang, L. Bondi, P. Bestagini, S. Tubaro, E. J. Delp

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Media Forensics

July 2017 - Honolulu, HI


Tampering Detection And Localization Through Clustering Of Camera-Based CNN Features

L. Bondi, S. Lameri, D. Güera, P. Bestagini, E. J. Delp, S. Tubaro

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Media Forensics

July 2017 - Honolulu, HI


A Preliminary Study On Convolutional Neural Networks For Camera Model Identification

L. Bondi, D. Güera, L. Baroffio, P. Bestagini, E. J. Delp, S. Tubaro

IS&T International Symposium on Electronic Imaging (EI)

January 2017 - Burlingame, CA


First Steps Toward Camera Model Identification With Convolutional Neural Networks

L. Bondi, L. Baroffio, D. Güera, P. Bestagini, E. J. Delp, S. Tubaro

IEEE Signal Processing Letters (SPL)

December 2016


Graduate Courses


UC Berkeley: Full Stack Deep Learning Prof. Pieter Abbeel, Sergey Karayev, Josh Tobin
ECE 641: Model-Based Image and Signal Processing Prof. Charles Bouman
ECE 638: Principles of Digital Color Imaging Systems Prof. Jan Allebach
ECE 637: Digital Image Processing I Prof. Charles Bouman
ECE 634: Digital Video Systems Prof. Amy Reibman
ECE 600: Random Variables Prof. Mary Comer
ECE 595: Computer Network Systems Prof. Sanjay Rao
ECE 580: Optimization Methods for Systems And Control Prof. Stanisław Żak
ECE 538: Digital Signal Processing I Prof. Michael Zoltowski
MA 511: Linear Algebra Prof. Alexandre Eremenko
STAT 528: Mathematical Statistics Prof. Xiao Wang