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08/23/2023
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Differentially Private Federated Learning (DP-FL) has garnered attention...
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06/23/2023
Differentially Private Streaming Data Release under Temporal Correlations via Post-processing
The release of differentially private streaming data has been extensivel...
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12/20/2022
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models
Diagnostic radiologists need artificial intelligence (AI) for medical im...
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09/11/2022
Secure Shapley Value for Cross-Silo Federated Learning
The Shapley value (SV) is a fair and principled metric for contribution ...
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09/06/2022
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy
Publishing graph statistics under node differential privacy has attracte...
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04/27/2022
TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information
Time is an important aspect of text documents, which has been widely exp...
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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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02/15/2022
OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment
Differentially private federated learning (DP-FL) has received increasin...
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09/08/2021
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections
In the last few years, open-domain question answering (ODQA) has advance...
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06/13/2021
Understanding the Interplay between Privacy and Robustness in Federated Learning
Federated Learning (FL) is emerging as a promising paradigm of privacy-p...
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06/08/2021
Incentive Mechanism for Privacy-Preserving Federated Learning
Federated learning (FL) is an emerging paradigm for machine learning, in...
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05/04/2021
Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness
There is a growing trend regarding perceiving personal data as a commodi...
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04/14/2021
Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism
Local differential privacy (LDP) has been received increasing attention ...
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03/01/2021
Asymmetric Differential Privacy
Recently, differential privacy (DP) is getting attention as a privacy de...
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12/24/2020
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
How to contain the spread of the COVID-19 virus is a major concern for m...
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10/26/2020
Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy
In recent years, concerns about location privacy are increasing with the...
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10/26/2020
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware
The COVID-19 pandemic has prompted technological measures to control the...
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09/17/2020
FLAME: Differentially Private Federated Learning in the Shuffle Model
Differentially private federated learning has been intensively studied. ...
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06/22/2020
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model
How can we release a massive volume of sensitive data while mitigating p...
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05/04/2020
Customizable and Rigorous Location Privacy through Policy Graph
Location privacy has been extensively studied in the literature. However...
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05/01/2020
PANDA: Policy-aware Location Privacy for Epidemic Surveillance
In this demonstration, we present a privacy-preserving epidemic surveill...
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04/16/2020
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release
With the development of smart devices, such as the Amazon Echo and Apple...
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03/24/2020
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection
As massive data are produced from small gadgets, federated learning on m...
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10/24/2019
Toward a view-based data cleaning architecture
Big data analysis has become an active area of study with the growth of ...
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07/25/2019
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services
Location privacy-preserving mechanisms (LPPMs) have been extensively stu...
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06/13/2019
Trading Location Data with Bounded Personalized Privacy Loss
As personal data have been the new oil of the digital era, there is a gr...
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06/13/2019
Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss
As personal data have been the new oil of the digital era, there is a gr...
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04/24/2019
Blockchain-based Bidirectional Updates on Fine-grained Medical Data
Electronic medical data sharing between stakeholders, such as patients, ...
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04/24/2019
When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy
In recent years, it has become easy to obtain location information quite...
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09/27/2018
Making View Update Strategies Programmable - Toward Controlling and Sharing Distributed Data -
Views are known mechanisms for controlling access of data and for sharin...
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04/23/2018
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training
Automatic generation of natural language from images has attracted exten...
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03/18/2018
A View-based Programmable Architecture for Controlling and Integrating Decentralized Data
The view and the view update are known mechanism for controlling access ...
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11/29/2017
Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations
Differential Privacy (DP) has received increasing attention as a rigorou...
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05/08/2017