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07/06/2022
Scaling Private Deep Learning with Low-Rank and Sparse Gradients
Applying Differentially Private Stochastic Gradient Descent (DPSGD) to t...
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06/20/2022
Shuffle Gaussian Mechanism for Differential Privacy
We study Gaussian mechanism in the shuffle model of differential privacy...
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06/18/2022
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning
Local differential privacy (LDP) gives a strong privacy guarantee to be ...
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06/07/2022
Shuffled Check-in: Privacy Amplification towards Practical Distributed Learning
Recent studies of distributed computation with formal privacy guarantees...
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04/08/2022
Network Shuffling: Privacy Amplification via Random Walks
Recently, it is shown that shuffling can amplify the central differentia...
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03/14/2022
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data
How can we explore the unknown properties of high-dimensional sensitive ...
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10/02/2021
Universal Adversarial Spoofing Attacks against Face Recognition
We assess the vulnerabilities of deep face recognition systems for image...
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06/08/2021
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
We propose a new framework of synthesizing data using deep generative mo...
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05/16/2021
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Between the years 2015 and 2019, members of the Horizon 2020-funded Inno...
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10/27/2020
