1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2024
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…
cs.CR2024
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…
cs.CR2022★ 1 cited
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Mauro Conti, Jiaxin Li, Stjepan Picek
Membership Inference Attacks (MIAs) infer whether a data point is in the training data of a machine learning model. It is a threat while being in the training data is private infor…