2 citations · 2 across the 1 of their papers we have counts for
3 papers
Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
Matteo Gioele Collu, Tom Janssen-Groesbeek, Stefanos Koffas +2
Large Language Models (LLMs) are being integrated into applications such as chatbots or email assistants. To prevent improper responses, safety mechanisms, such as Reinforcement Le…
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning
Jiaxin Li, Marco Arazzi, Antonino Nocera +1
Source Inference Attack (SIA) in Federated Learning (FL) aims to identify which client used a target data point for local model training. It allows the central server to audit clie…
Membership Privacy Evaluation in Deep Spiking Neural Networks
Jiaxin Li, Gorka Abad, Stjepan Picek +1
Artificial Neural Networks (ANNs), commonly mimicking neurons with non-linear functions to output floating-point numbers, consistently receive the same signals of a data point duri…