139 citations · 174 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
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…
Can Small-Scale Data Poisoning Exacerbate Dialect-Linked Biases in Large Language Models?
Chaymaa Abbas, Mariette Awad, Razane Tajeddine
Style-conditioned data poisoning is identified as a covert vector for amplifying sociolinguistic bias in large language models. Using small poisoned budgets that pair dialectal pro…
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…