activity
20062026
most citedEstimation Efficiency Under Privacy Constraints

69 citations · 136 across the 49 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

math.OC2023

Sliding Window Codes: Near-Optimality and Q-Learning for Zero-Delay Coding

Liam Cregg, Fady Alajaji, Serdar Yuksel

We study the problem of zero-delay coding for the transmission of a Markov source over a noisy channel with feedback and present a reinforcement learning solution which is guarante…

math.PR2023★ 1 cited

Generating Preferential Attachment Graphs via a Pólya Urn with Expanding Colors

Somya Singh, Fady Alajaji, Bahman Gharesifard

We introduce a novel preferential attachment model using the draw variables of a modified Pólya urn with an expanding number of colors, notably capable of modeling influential opin…

cs.LG2023

A Unifying Generator Loss Function for Generative Adversarial Networks

Justin Veiner, Fady Alajaji, Bahman Gharesifard

A unifying -parametrized generator loss function is introduced for a dual-objective generative adversarial network (GAN), which uses a canonical (or classical) discriminator los…

cs.IT2023

Optimized Constellation Design for Two User Binary Sensor Networks Using NOMA

Luca Sardellitti, Glen Takahara, Fady Alajaji

Data Fusion of wireless sensors is a common technique employed in many communication systems. This work focuses on incorporating the principles of non-orthogonal-multiple-access (N…

cs.IT2023

On Decoder Ties for the Binary Symmetric Channel with Arbitrarily Distributed Input

Ling-Hua Chang, Po-Ning Chen, Fady Alajaji

The error probability of block codes sent under a non-uniform input distribution over the memoryless binary symmetric channel (BSC) and decoded via the maximum a posteriori (MAP) d…

cs.CV2023★ 2 cited

Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility

William Paul, Philip Mathew, Fady Alajaji +1

This paper investigates to what degree and magnitude tradeoffs exist between utility, fairness and attribute privacy in computer vision. Regarding privacy, we look at this importan…