45 citations · 71 across the 13 of their papers we have counts for
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EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
In this work, we introduce EQ-Net: the first holistic framework that solves both the tasks of log-likelihood ratio (LLR) estimation and quantization using a data-driven method. We…
Robust Face Verification via Disentangled Representations
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
We introduce a robust algorithm for face verification, i.e., deciding whether twoimages are of the same person or not. Our approach is a novel take on the idea ofusing deep generat…
Detecting Patch Adversarial Attacks with Image Residuals
Marius Arvinte, Ahmed Tewfik, Sriram Vishwanath
We introduce an adversarial sample detection algorithm based on image residuals, specifically designed to guard against patch-based attacks. The image residual is obtained as the d…