3 papers
cs.CR2023
Do Backdoors Assist Membership Inference Attacks?
Yumeki Goto, Nami Ashizawa, Toshiki Shibahara +1
When an adversary provides poison samples to a machine learning model, privacy leakage, such as membership inference attacks that infer whether a sample was included in the trainin…
cs.CR2021
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts
Nami Ashizawa, Naoto Yanai, Jason Paul Cruz +1
Ethereum smart contracts are programs that run on the Ethereum blockchain, and many smart contract vulnerabilities have been discovered in the past decade. Many security analysis t…
cs.LG2020
Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection
Yang Chen, Nami Ashizawa, Seanglidet Yean +2
In the information age, a secure and stable network environment is essential and hence intrusion detection is critical for any networks. In this paper, we propose a self-organizing…