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03/07/2023
Client-specific Property Inference against Secure Aggregation in Federated Learning
Federated learning has become a widely used paradigm for collaboratively...
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10/17/2022
Industry-Scale Orchestrated Federated Learning for Drug Discovery
To apply federated learning to drug discovery we developed a novel platf...
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05/13/2022
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Pharmaceutical industry can better leverage its data assets to virtualiz...
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02/27/2021
Constrained Differentially Private Federated Learning for Low-bandwidth Devices
Federated learning becomes a prominent approach when different entities ...
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11/10/2020
Compression Boosts Differentially Private Federated Learning
Federated Learning allows distributed entities to train a common model c...
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10/15/2020
Federated Learning in Adversarial Settings
Federated Learning enables entities to collaboratively learn a shared pr...
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08/04/2020
Privacy-preserving release of mobility data: a clean-slate approach
The quantity of mobility data is overwhelming nowadays providing tremend...
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10/25/2019
Automatic Driver Identification from In-Vehicle Network Logs
Data generated by cars is growing at an unprecedented scale. As cars gra...
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02/24/2019
