activity
20092024
most citedStatistical Performance Analysis of MDL Source Enumeration in Array Processing

79 citations · 247 across the 56 of their papers we have counts for

collaborators

66 papers

cs.CR2024

Beyond Yao's Millionaires: Secure Multi-Party Computation of Non-Polynomial Functions

Seyed Reza Hoseini Najarkolaei, Mohammad Mahdi Mojahedian, Mohammad Reza Aref

In this paper, we present an unconditionally secure -party comparison scheme based on Shamir secret sharing, utilizing the binary representation of private inputs to determine t…

cs.LG2023★ 1 cited

Adjustable Privacy using Autoencoder-based Learning Structure

Mohammad Ali Jamshidi, Hadi Veisi, Mohammad Mahdi Mojahedian +1

Inference centers need more data to have a more comprehensive and beneficial learning model, and for this purpose, they need to collect data from data providers. On the other hand,…

cs.IT2023

Output Statistics of Random Binning: Tsallis Divergence and Its Applications

Masoud Kavian, Mohammad Mahdi Mojahedian, Mohammad Hossein Yassaee +2

Random binning is a widely used technique in information theory with diverse applications. In this paper, we focus on the output statistics of random binning (OSRB) using the Tsall…

cs.CR2021★ 21 cited

Using Blockchain to Achieve Decentralized Privacy In IoT Healthcare

Sajad Meisami, Mohammad Beheshti-Atashgah, Mohammad Reza Aref

With the advent of the Internet of Things (IoT), e-health has become one of the main topics of research. Due to the sensitivity of patient information, patient privacy seems challe…

cs.CR2021

HUAP: Practical Attribute-based Access Control Supporting Hidden Updatable Access Policies for Resource-Constrained Devices

Mostafa Chegenizadeh, Mohammad Ali, Javad Mohajeri +1

Attribute-based encryption (ABE) is a promising cryptographic mechanism for providing confidentiality and fine-grained access control in the cloud-based area. However, due to high…

cs.IT2021★ 1 cited

Learning under Distribution Mismatch and Model Misspecification

Saeed Masiha, Amin Gohari, Mohammad Hossein Yassaee +1

We study learning algorithms when there is a mismatch between the distributions of the training and test datasets of a learning algorithm. The effect of this mismatch on the genera…