research
∙
06/09/2023
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website Detection
Machine learning is often used for malicious website detection, but an a...
share
research
∙
06/07/2023
An Empirical Study of Impact of Solidity Compiler Updates on Vulnerabilities in Ethereum Smart Contracts
Vulnerabilities of Ethereum smart contracts often cause serious financia...
research
∙
05/14/2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Taxi-demand prediction is an important application of machine learning t...
research
∙
03/22/2023
Do Backdoors Assist Membership Inference Attacks?
When an adversary provides poison samples to a machine learning model, p...
research
∙
02/07/2023
Membership Inference Attacks against Diffusion Models
Diffusion models have attracted attention in recent years as innovative ...
research
∙
08/07/2022
IoT-REX: A Secure Remote-Control System for IoT Devices from Centralized Multi-Designated Verifier Signatures
IoT technology has been developing rapidly, while at the same time, it r...
research
∙
09/30/2021
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data
Model extraction attacks are a kind of attacks where an adversary obtain...
research
∙
01/07/2021
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts
Ethereum smart contracts are programs that run on the Ethereum blockchai...
research
∙
08/31/2020
APVAS: Reducing Memory Size of AS_PATH Validation by Using Aggregate Signatures
The BGPsec protocol, which is an extension of the border gateway protoco...
research
∙
08/28/2020
Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection
In the information age, a secure and stable network environment is essen...
research
∙
07/02/2020
Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis
Ethereum smart contracts are programs that are deployed and executed in ...
research
∙
02/01/2020
Model Extraction Attacks against Recurrent Neural Networks
Model extraction attacks are a kind of attacks in which an adversary obt...
research
∙
08/29/2019
Key-Aggregate Searchable Encryption, Revisited: Formal Foundations for Cloud Applications, and Their Implementation
In the use of a cloud storage, sharing of data with efficient access con...
research
∙
11/29/2018