2 citations · 2 across the 6 of their papers we have counts for
6 papers
Decoding BACnet Packets: A Large Language Model Approach for Packet Interpretation
Rashi Sharma, Hiroyuki Okada, Tatsumi Oba +3
The Industrial Control System (ICS) environment encompasses a wide range of intricate communication protocols, posing substantial challenges for Security Operations Center (SOC) an…
JABBERWOCK: A Tool for WebAssembly Dataset Generation and Its Application to Malicious Website Detection
Chika Komiya, Naoto Yanai, Kyosuke Yamashita +1
Machine learning is often used for malicious website detection, but an approach incorporating WebAssembly as a feature has not been explored due to a limited number of samples, to…
An Empirical Study of Impact of Solidity Compiler Updates on Vulnerabilities in Ethereum Smart Contracts
Chihiro Kado, Naoto Yanai, Jason Paul Cruz +2
Vulnerabilities of Ethereum smart contracts often cause serious financial damage. Whereas the Solidity compiler has been updated to prevent vulnerabilities, its effectiveness has n…
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Yumeki Goto, Tomoya Matsumoto, Hamada Rizk +2
Taxi-demand prediction is an important application of machine learning that enables taxi-providing facilities to optimize their operations and city planners to improve transportati…
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…
Membership Inference Attacks against Diffusion Models
Tomoya Matsumoto, Takayuki Miura, Naoto Yanai
Diffusion models have attracted attention in recent years as innovative generative models. In this paper, we investigate whether a diffusion model is resistant to a membership infe…