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06/15/2023
Community Detection Attack against Collaborative Learning-based Recommender Systems
Collaborative-learning based recommender systems emerged following the s...
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05/09/2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
Federated learning involves training statistical models over edge device...
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08/11/2022
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
Federated Learning (FL) opens new perspectives for training machine lear...
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08/09/2022
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
Recommender systems are proving to be an invaluable tool for extracting ...
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05/18/2022
SplitBFT: Improving Byzantine Fault Tolerance Safety Using Trusted Compartments
Byzantine fault-tolerant agreement (BFT) in a partially synchronous syst...
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03/19/2021
Enhancing Robustness of On-line Learning Models on Highly Noisy Data
Classification algorithms have been widely adopted to detect anomalies f...
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11/11/2019
RAD: On-line Anomaly Detection for Highly Unreliable Data
Classification algorithms have been widely adopted to detect anomalies f...
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05/04/2018
X-Search: Revisiting Private Web Search using Intel SGX
The exploitation of user search queries by search engines is at the hear...
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05/03/2018