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08/21/2023
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Deep learning continues to rapidly evolve and is now demonstrating remar...
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06/01/2023
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations
Learned Image Compression (LIC) has recently become the trending techniq...
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04/11/2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense
Federated learning (FL) provides a variety of privacy advantages by allo...
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02/21/2023
Speech Privacy Leakage from Shared Gradients in Distributed Learning
Distributed machine learning paradigms, such as federated learning, have...
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03/29/2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Federated Learning (FL) framework brings privacy benefits to distributed...
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07/03/2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates
Federated Learning (FL) enables multiple distributed clients (e.g., mobi...
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04/26/2020
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
Recently, the vulnerability of DNN-based audio systems to adversarial at...
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03/04/2020
