research
∙
06/08/2023
Federated Linear Contextual Bandits with User-level Differential Privacy
This paper studies federated linear contextual bandits under the notion ...
share
research
∙
05/22/2023
EXACT: Extensive Attack for Split Learning
Privacy-Preserving machine learning (PPML) can help us train and deploy ...
research
∙
06/07/2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
Federated learning (FL) has emerged as an effective approach to address ...
research
∙
05/30/2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
Federated learning (FL) is an effective mechanism for data privacy in re...
research
∙
03/11/2021
Differentially Private Query Release Through Adaptive Projection
We propose, implement, and evaluate a new algorithm for releasing answer...
research
∙
02/24/2021
Adversarial Robustness with Non-uniform Perturbations
Robustness of machine learning models is critical for security related a...
research
∙
10/05/2018
On Collaborative Predictive Blacklisting
Collaborative predictive blacklisting (CPB) allows to forecast future at...
research
∙
05/10/2018
Inference Attacks Against Collaborative Learning
Collaborative machine learning and related techniques such as distribute...
research
∙
12/13/2015
