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09/14/2023
Secure and Scalable Circuit-based Protocol for Multi-Party Private Set Intersection
We propose a novel protocol for computing a circuit which implements the...
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08/21/2023
Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis
Federated Learning (FL) is a distributed machine learning technique that...
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06/05/2023
On the complexity of isomorphism problems for tensors, groups, and polynomials III: actions by classical groups
We study the complexity of isomorphism problems for d-way arrays, or ten...
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11/29/2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise
Federated learning seeks to address the issue of isolated data islands b...
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11/14/2022
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing
Differential privacy (DP) provides a formal privacy guarantee that preve...
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09/03/2022
LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy
Data aggregation in the setting of local differential privacy (LDP) guar...
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06/08/2022
Efficient reversible data hiding via two layers of double-peak embedding
Reversible data hiding continues to attract significant attention in rec...
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02/01/2021
Regionalized location obfuscation mechanism with personalized privacy levels
Global Positioning Systems are now a standard module in mobile devices, ...
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10/03/2020
DCDChain: A Credible Architecture of Digital Copyright Detection Based on Blockchain
Copyright detection is an effective method to prevent piracy. However, u...
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10/03/2020
Utility-efficient Differentially Private K-means Clustering based on Cluster Merging
Differential privacy is widely used in data analysis. State-of-the-art k...
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08/08/2020
A Differentially Private Framework in Spatial Crowdsourcing with Historical Data Learning
Spatial crowdsourcing (SC) is an increasing popular category of crowdsou...
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08/07/2020
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
We present HoliCity, a city-scale 3D dataset with rich structural inform...
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07/29/2020
Secure Computation Framework for Multiple Data Providers Against Malicious Adversaries
Due to the great development of secure multi-party computation, many pra...
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04/15/2020
Intuitive, Interactive Beard and Hair Synthesis with Generative Models
We present an interactive approach to synthesizing realistic variations ...
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02/24/2020
Anatomy-aware 3D Human Pose Estimation in Videos
In this work, we propose a new solution for 3D human pose estimation in ...
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01/03/2020
Fair Auction and Trade Framework for Cloud VM Allocation based on Blockchain
Cloud auctions provide cost-effective strategies for cloud VM allocation...
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01/03/2020
Differentially Private Combinatorial Cloud Auction
Cloud service providers typically provide different types of virtual mac...
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09/17/2019
Privacy-preserving Double Auction Mechanism Based on Homomorphic Encryption and Sorting Networks
As an effective resource allocation approach, double auctions (DAs) have...
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08/10/2019
Efficient Three-party Computation: An Information-theoretic Approach from Cut-and-Choose
As far as we know, the literature on secure computation from cut-and-cho...
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08/10/2019
Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics
With the rapid development of GPS enabled devices (smartphones) and loca...
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05/17/2019
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
In this paper, we propose a method to obtain a compact and accurate 3D w...
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12/05/2018
Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering
Collaborative filtering (CF) recommendation algorithms are well-known fo...
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11/06/2018
NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids
Small-scale liquid flows on solid surfaces provide convincing details in...
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10/19/2018
Probabilistic Matrix Factorization with Personalized Differential Privacy
Probabilistic matrix factorization (PMF) plays a crucial role in recomme...
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10/19/2018
PP-MCSA: Privacy Preserving Multi-Channel Double Spectrum Auction
Auction is widely regarded as an effective way in dynamic spectrum redis...
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10/18/2018
Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter
Truthful spectrum auction is believed to be an effective method for spec...
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10/18/2018
Differentially Private Double Spectrum Auction with Approximate Social Welfare Maximization
Spectrum auction is an effective approach to improving spectrum utilizat...
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10/14/2018
