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20162026
most citedPrivate Information Retrieval from MDS Coded Data in Distributed Storage Systems

139 citations · 174 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?

Razan El Mais, Ali Chehab, Ibrahim Issa +1

Differentially Private Stochastic Gradient Descent (DP-SGD) is a leading approach for privacy-preserving fine-tuning of large language models (LLMs). Many decoder-only LLMs employ…

eess.SP2026

Where to Defend? Layer-Wise Adversarial Training for Robust Transformer-Based Semantic Communications

Maria Slim, Razane Tajeddine, Mariette Awad +1

Deep learning-based semantic communication (DeepSC), a Transformer-based encoder-decoder, achieves semantic fidelity over noisy channels but remains vulnerable to adversarial pertu…

cs.IT2026

Algebraic Geometry Codes Approach the Half-Singleton Bound with Constant Field Size

Neehar Verma, Camilla Hollanti, Razane Tajeddine

We study linear codes for insertion and deletion (insdel) errors through the lens of evaluation codes. We develop a general framework for analyzing random puncturings of evaluation…

cs.CR2026

SignDeepSC: A Semantic Signature-based Approach for Robust Semantic Communication

Khalil Alhaj, Razane Tajeddine, Hadi Sarieddeen

Semantic communication systems such as deep semantic communication (DeepSC) offer high efficiency but are vulnerable to adversarial attacks on their underlying neural networks. We…

cs.CR2026

Benchmarking Dataset for Presence-Only Passive Reconnaissance in Wireless Smart-Grid Communications

Bochra Al Agha, Razane Tajeddine

Benchmarking presence-only passive reconnaissance in smart-grid communications is challenging because the adversary is receive-only, yet nearby observers can still alter propagatio…

cs.IT2026

On the Extension of Private Distributed Matrix Multiplication Schemes to the Grid Partition

Christoph Hofmeister, Razane Tajeddine, Antonia Wachter-Zeh +1

We consider polynomial codes for private distributed matrix multiplication (PDMM/SDMM). Existing codes for PDMM are either specialized for the outer product partitioning (OPP), or…