4 citations · 5 across the 10 of their papers we have counts for
12 papers
NOEMA: Executable Contracts for Learned Wireless Comparisons
Mostafa Naseri, Mohamed Seif, H. Vincent Poor +1
Learning-based wireless research increasingly combines simulation, external model training, and benchmarking. Rebuilding these stages for every experiment is time-consuming, while…
Anchor-ECC: Local Integrity Checking for Watermarked LLM Outputs via Error-Correcting Codes
Zewei Deng, Muhammad Siddeek, Liyan Xie +4
LLM watermarking has become an effective approach to distinguishing AI-generated text from human-written text by embedding detectable patterns during generation. However, a small p…
Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management
Hojjat Navidan, Mohammad Cheraghinia, Jaron Fontaine +5
Open Radio Access Networks (O-RAN) promise flexible 6G network access through disaggregated, software-driven components and open interfaces, but this programmability also increases…
Adversary-Aware Private Inference over Wireless Channels
Mohamed Seif, Malcolm Egan, Andrea J. Goldsmith +1
AI-based sensing at wireless edge devices has the potential to significantly enhance Artificial Intelligence (AI) applications, particularly for vision and perception tasks such as…
Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
Antti Koskela, Mohamed Seif, H. Vincent Poor +1
We study spectral graph clustering under edge differential privacy. We propose a matrix shuffling mechanism that combines randomized edge flipping with a random permutation of the…
How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
Joohyung Lee, Jungchan Cho, Wonjun Lee +2
To alleviate the training burden in federated learning while enhancing convergence speed, Split Federated Learning (SFL) has emerged as a promising approach by combining the advant…
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning
Mostafa Naseri, Eli De Poorter, Ingrid Moerman +2
Co-channel interference cancellation (CCI) is the process used to reduce interference from other signals using the same frequency channel, thereby enhancing the performance of wire…
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency
Mostafa Naseri, Pooya Ashtari, Mohamed Seif +3
In wireless communications, efficient image transmission must balance reliability, throughput, and latency, especially under dynamic channel conditions. This paper presents an adap…
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks
Rajarshi Saha, Mohamed Seif, Michal Yemini +2
We consider the problem of privately estimating the mean of vectors distributed across different nodes of an unreliable wireless network, where communications between nodes can fai…
Over-the-Air Collaborative Inference with Feature Differential Privacy
Mohamed Seif, Yuqi Nie, Andrea Goldsmith +1
Collaborative inference in next-generation networks can enhance Artificial Intelligence (AI) applications, including autonomous driving, personal identification, and activity class…
On the Information Leakage Performance of Secure Finite Blocklength Transmissions over Rayleigh Fading Channels
Milad Tatar Mamaghani, Xiangyun Zhou, Nan Yang +2
This paper presents a secrecy performance study of a wiretap communication system with finite blocklength (FBL) transmissions over Rayleigh fading channels, based on the definition…
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems
Stephanie Gil, Michal Yemini, Arsenia Chorti +3
Multi-agent cyberphysical systems enable new capabilities in efficiency, resilience, and security. The unique characteristics of these systems prompt a reevaluation of their securi…