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05/01/2023
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference
Homomorphic encryption (HE), which allows computations on encrypted data...
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03/31/2023
Scalable and Privacy-Preserving Federated Principal Component Analysis
Principal component analysis (PCA) is an essential algorithm for dimensi...
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09/06/2022
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing
Cyber Threat Intelligence (CTI) sharing is an important activity to redu...
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07/28/2022
Verifiable Encodings for Secure Homomorphic Analytics
Homomorphic encryption, which enables the execution of arithmetic operat...
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07/28/2022
Privacy-Preserving Federated Recurrent Neural Networks
We present RHODE, a novel system that enables privacy-preserving trainin...
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05/24/2021
Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices
Wearable devices such as smartwatches, fitness trackers, and blood-press...
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03/16/2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Tree-based models are among the most efficient machine learning techniqu...
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01/21/2021
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies
Providing provenance in scientific workflows is essential for reproducib...
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10/27/2020
Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical Synthesis
Multisite medical data sharing is critical in modern clinical practice a...
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09/01/2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning
In this paper, we address the problem of privacy-preserving training and...
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07/08/2020
Privacy and Integrity Preserving Computations with CRISP
In the digital era, users share their personal data with service provide...
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05/25/2020
Decentralized Privacy-Preserving Proximity Tracing
This document describes and analyzes a system for secure and privacy-pre...
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05/19/2020
Scalable Privacy-Preserving Distributed Learning
In this paper, we address the problem of privacy-preserving distributed ...
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02/11/2019
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
Data sharing has become of primary importance in many domains such as bi...
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10/27/2017
