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08/24/2023
Understanding Container-based Services under Software Aging: Dependability and Performance Views
Container technology, as the key enabler behind microservice architectur...
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08/24/2023
Towards Semi-Markov Model-based Dependability Evaluation of VM-based Multi-Domain Service Function Chain
In NFV networks, service functions (SFs) can be deployed on virtual mach...
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07/10/2023
Towards Runtime Customizable Trusted Execution Environment on FPGA-SoC
Processing sensitive data and deploying well-designed Intellectual Prope...
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06/01/2023
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning
Federated Learning (FL), a privacy-oriented distributed ML paradigm, is ...
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04/14/2023
Delay Impact on Stubborn Mining Attack Severity in Imperfect Bitcoin Network
Stubborn mining attack greatly downgrades Bitcoin throughput and also be...
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03/20/2023
Practical Solutions in Fully Homomorphic Encryption – A Survey Analyzing Existing Acceleration Methods
Fully homomorphic encryption (FHE) has experienced significant developme...
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02/01/2023
Is Stubborn Mining Severe in Imperfect GHOST Bitcoin-like Blockchains? Quantitative Analysis
GHOST, like the longest-chain protocol, is a chain selection protocol an...
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12/05/2021
Deep-Dive Analysis of Selfish and Stubborn Mining in Bitcoin and Ethereum
Bitcoin and Ethereum are the top two blockchain-based cryptocurrencies w...
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10/14/2021
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks
White-box Adversarial Example (AE) attacks towards Deep Neural Networks ...
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02/03/2021
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks
The widespread application of deep neural network (DNN) techniques is be...
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01/25/2021
Generalizing Adversarial Examples by AdaBelief Optimizer
Recent research has proved that deep neural networks (DNNs) are vulnerab...
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01/15/2021
Towards interpreting ML-based automated malware detection models: a survey
Malware is being increasingly threatening and malware detectors based on...
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01/13/2021
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Deep learning (DL) models for image-based malware detection have exhibit...
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09/13/2020