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07/31/2023
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries
Limited availability of labeled data for machine learning on biomedical ...
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12/08/2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Privacy-preserving inference via edge or encrypted computing paradigms e...
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11/08/2022
Centaur: Federated Learning for Constrained Edge Devices
Federated learning (FL) on deep neural networks facilitates new applicat...
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08/09/2021
Efficient Hyperparameter Optimization for Differentially Private Deep Learning
Tuning the hyperparameters in the differentially private stochastic grad...
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05/28/2021
Quantifying Information Leakage from Gradients
Sharing deep neural networks' gradients instead of training data could f...
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05/25/2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs
It is known that deep neural networks, trained for the classification of...
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01/27/2021
Dopamine: Differentially Private Federated Learning on Medical Data
While rich medical datasets are hosted in hospitals distributed across t...
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10/17/2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Training a deep neural network (DNN) via federated learning allows parti...
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09/04/2020
Running Neural Networks on the NIC
In this paper we show that the data plane of commodity programmable (Net...
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08/05/2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Current deep neural architectures for processing sensor data are mainly ...
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11/14/2019
Privacy and Utility Preserving Sensor-Data Transformations
Sensitive inferences and user re-identification are major threats to pri...
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09/10/2019
Privacy-Preserving Bandits
Contextual bandit algorithms (CBAs) often rely on personal data to provi...
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06/21/2019
Modeling and Forecasting Art Movements with CGANs
Conditional Generative Adversarial Networks (CGANs) are a recent and pop...
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10/26/2018
Mobile Sensor Data Anonymization
Data from motion sensors such as accelerometers and gyroscopes embedded ...
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02/21/2018
Protecting Sensory Data against Sensitive Inferences
There is growing concern about how personal data are used when users gra...
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10/18/2017
