7 papers
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…
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping
Linzh Zhao, Aki Rehn, Mikko A. Heikkilä +2
Differential privacy (DP) has become an essential framework for privacy-preserving machine learning. Existing DP learning methods, however, often have disparate impacts on model pr…
Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
Bochra Al Agha, Razane Tajeddine
Smart grids are exposed to passive eavesdropping, where attackers listen silently to communication links. Although no data is actively altered, such reconnaissance can reveal grid…
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…
On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models
Ali Al Sahili, Ali Chehab, Razane Tajeddine
Large Language Models (LLMs) are prone to memorizing training data, which poses serious privacy risks. Two of the most prominent concerns are training data extraction and Membershi…
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…