5 citations · 10 across the 10 of their papers we have counts for
11 papers
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…
Protecting Human Activity Signatures in Compressed IEEE 802.11 CSI Feedback
Mohamed Seif, Atsutse Kludze, Yasaman Ghasempour +3
Explicit channel state information (CSI) feedback in IEEE~802.11 conveys \emph{transmit beamforming directions} by reporting quantized Givens rotation and phase angles that paramet…
Detecting Post-generation Edits to Watermarked LLM Outputs via Combinatorial Watermarking
Liyan Xie, Muhammad Siddeek, Mohamed Seif +2
Watermarking has become a key technique for proprietary language models, enabling the distinction between AI-generated and human-written text. However, in many real-world scenarios…
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…
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
Antti Koskela, Mohamed Seif, Andrea J. Goldsmith
We investigate privacy-preserving spectral clustering for community detection within stochastic block models (SBMs). Specifically, we focus on edge differential privacy (DP) and pr…
Collaborative Inference over Wireless Channels with Feature Differential Privacy
Mohamed Seif, Yuqi Nie, Andrea J. Goldsmith +1
Collaborative inference among multiple wireless edge devices has the potential to significantly enhance Artificial Intelligence (AI) applications, particularly for sensing and comp…
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…
Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits
Mohamed Seif, Liyan Xie, Andrea J. Goldsmith +1
We study the private online change detection problem for dynamic communities, using a censored block model (CBM). We consider edge differential privacy (DP) in both local and centr…
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…