279 citations · 318 across the 5 of their papers we have counts for
8 papers
AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Nicholas Dufour, Arkanath Pathak, Pouya Samangouei +8
The prevalence and harms of online misinformation is a perennial concern for internet platforms, institutions and society at large. Over time, information shared online has become…
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding
Xingxing Zuo, Pouya Samangouei, Yunwen Zhou +2
Precisely perceiving the geometric and semantic properties of real-world 3D objects is crucial for the continued evolution of augmented reality and robotic applications. To this en…
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Wei-An Lin, Yogesh Balaji, Pouya Samangouei +1
Inferring the latent variable generating a given test sample is a challenging problem in Generative Adversarial Networks (GANs). In this paper, we propose InvGAN - a novel framewor…
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei, Maya Kabkab, Rama Chellappa
In recent years, deep neural network approaches have been widely adopted for machine learning tasks, including classification. However, they were shown to be vulnerable to adversar…
Face-MagNet: Magnifying Feature Maps to Detect Small Faces
Pouya Samangouei, Mahyar Najibi, Larry Davis +1
In this paper, we introduce the Face Magnifier Network (Face-MageNet), a face detector based on the Faster-RCNN framework which enables the flow of discriminative information of sm…
Task-Aware Compressed Sensing with Generative Adversarial Networks
Maya Kabkab, Pouya Samangouei, Rama Chellappa
In recent years, neural network approaches have been widely adopted for machine learning tasks, with applications in computer vision. More recently, unsupervised generative models…