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09/20/2023
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Intelligent transportation systems (ITSs) have been fueled by the rapid ...
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09/18/2023
Security and Privacy on Generative Data in AIGC: A Survey
The advent of artificial intelligence-generated content (AIGC) represent...
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02/23/2023
A Survey of Secure Computation Using Trusted Execution Environments
As an essential technology underpinning trusted computing, the trusted e...
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02/14/2023
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Knowledge tracing (KT) is the problem of predicting students' future per...
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10/20/2022
Proof of Unlearning: Definitions and Instantiation
The "Right to be Forgotten" rule in machine learning (ML) practice enabl...
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09/30/2022
Learning Second Order Local Anomaly for General Face Forgery Detection
In this work, we propose a novel method to improve the generalization ab...
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06/09/2022
Towards Target Sequential Rules
In many real-world applications, sequential rule mining (SRM) can provid...
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05/25/2022
Deniable Steganography
Steganography conceals the secret message into the cover media, generati...
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05/06/2022
Fusion: Efficient and Secure Inference Resilient to Malicious Server and Curious Clients
In secure machine learning inference, most current schemes assume that t...
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03/10/2022
A Screen-Shooting Resilient Document Image Watermarking Scheme using Deep Neural Network
With the advent of the screen-reading era, the confidential documents di...
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02/26/2022
A Robust Document Image Watermarking Scheme using Deep Neural Network
Watermarking is an important copyright protection technology which gener...
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01/23/2022
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
This paper proposes a new approach for privacy-preserving and verifiable...
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11/29/2021
US-Rule: Discovering Utility-driven Sequential Rules
Utility-driven mining is an important task in data science and has many ...
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10/30/2021
Utility-driven Mining of Contiguous Sequences
Recently, contiguous sequential pattern mining (CSPM) gained interest as...
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03/30/2021
TUSQ: Targeted High-Utility Sequence Querying
Significant efforts have been expended in the research and development o...
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01/21/2021
UNIT: Unifying Tensorized Instruction Compilation
Because of the increasing demand for computation in DNN, researchers dev...
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12/19/2020
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism
Data holders, such as mobile apps, hospitals and banks, are capable of t...
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11/12/2020
Golden Grain: Building a Secure and Decentralized Model Marketplace for MLaaS
ML-as-a-service (MLaaS) becomes increasingly popular and revolutionizes ...
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09/28/2020
Secure Computation on Additive Shares
The rapid development of cloud computing has probably benefited each of ...
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09/15/2020
Privacy-Preserving Image Retrieval Based on Additive Secret Sharing
The rapid growth of digital images motivates individuals and organizatio...
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09/11/2020
Efficient Privacy-Preserving Computation Based on Additive Secret Sharing
The emergence of cloud computing provides a new computing paradigm for u...
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08/23/2020
Parameter-controlled inserting constructions of constant dimension subspace codes
A basic problem in constant dimension subspace coding is to determine th...
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07/24/2020
MSPPIR: Multi-source privacy-preserving image retrieval in cloud computing
Content-Based Image Retrieval (CBIR) techniques have been widely researc...
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07/04/2020
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network
Generative adversarial network (GAN) has attracted increasing attention ...
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05/24/2020
Privacy-preserving Medical Treatment System through Nondeterministic Finite Automata
In this paper, we propose a privacy-preserving medical treatment system ...
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05/16/2020
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
Deep Learning (DL) techniques allow ones to train models from a dataset ...
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02/26/2020
Peripheral-free Device Pairing by Randomly Switching Power
The popularity of Internet-of-Things (IoT) comes with security concerns....
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01/27/2020
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles
Mobile edge computing (MEC) is an emerging technology to transform the c...
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12/22/2019
An Overview on Smart Contracts: Challenges, Advances and Platforms
Smart contract technology is reshaping conventional industry and busines...
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12/13/2019
On Low-complexity Lattice Reduction Algorithms for Large-scale MIMO Detection: the Blessing of Sequential Reduction
Lattice reduction is a popular preprocessing strategy in multiple-input ...
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10/16/2019
Long Optimal or Small-Defect LRC Codes with Unbounded Minimum Distances
A code over a finite field is called locally recoverable code (LRC) if e...
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10/16/2019
Long Optimal LRC Codes with Unbounded Localities and Unbounded Minimum Distances
A code over a finite field is called locally recoverable code (LRC) if e...
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09/08/2019
Onionchain: Towards Balancing Privacy and Traceability of Blockchain-Based Applications
With the popularity of Blockchain comes grave security-related concerns....
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08/27/2019
On the (In)security of Bluetooth Low Energy One-Way Secure Connections Only Mode
To defeat security threats such as man-in-the-middle (MITM) attacks, Blu...
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08/10/2019
New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks
A basic problem for the constant dimension subspace coding is to determi...
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05/09/2019
Exploiting Fine-Grain Ordered Parallelism in Dense Matrix Algorithms
Dense linear algebra kernels are critical for wireless applications, and...
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04/20/2019