10 citations · 28 across the 11 of their papers we have counts for
11 papers
3D Neuron Morphology Analysis
Jiaxiang Jiang, Michael Goebel, Cezar Borba +2
We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience re…
Generalizable Deepfake Detection with Phase-Based Motion Analysis
Ekta Prashnani, Michael Goebel, B. S. Manjunath
We propose PhaseForensics, a DeepFake (DF) video detection method that leverages a phase-based motion representation of facial temporal dynamics. Existing methods relying on tempor…
Deep Learning Enabled Time-Lapse 3D Cell Analysis
Jiaxiang Jiang, Amil Khan, S. Shailja +4
This paper presents a method for time-lapse 3D cell analysis. Specifically, we consider the problem of accurately localizing and quantitatively analyzing sub-cellular features, and…
LECA: A Learned Approach for Efficient Cover-agnostic Watermarking
Xiyang Luo, Michael Goebel, Elnaz Barshan +1
In this work, we present an efficient multi-bit deep image watermarking method that is cover-agnostic yet also robust to geometric distortions such as translation and scaling as we…
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices
Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed +2
Digital image forensics aims to detect images that have been digitally manipulated. Realistic image forgeries involve a combination of splicing, resampling, region removal, smoothi…
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay +3
Machine Learning (ML) algorithms are susceptible to adversarial attacks and deception both during training and deployment. Automatic reverse engineering of the toolchains behind th…