most citedMisbehavior Detection Using Collective Perception under Privacy Considerations

1 citations · 2 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CV20241 cited

Logic-Free Building Automation: Learning the Control of Room Facilities with Wall Switches and Ceiling Camera

Hideya Ochiai, Kohki Hashimoto, Takuya Sakamoto +5

Artificial intelligence enables smarter control in building automation by its learning capability of users' preferences on facility control. Reinforcement learning (RL) was one of…

cs.LG2022

Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks

Naoya Tezuka, Hideya Ochiai, Yuwei Sun +1

Wireless ad hoc federated learning (WAFL) is a fully decentralized collaborative machine learning framework organized by opportunistically encountered mobile nodes. Compared to con…

cs.CR20221 cited

Detecting Anomalous LAN Activities under Differential Privacy

Norrathep Rattanavipanon, Donlapark Ponnoprat, Hideya Ochiai +3

Anomaly detection has emerged as a popular technique for detecting malicious activities in local area networks (LANs). Various aspects of LAN anomaly detection have been widely stu…

cs.LG20222 cited

Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis

Yuwei Sun, Hideya Ochiai, Jun Sakuma

Model poisoning attacks on federated learning (FL) intrude in the entire system via compromising an edge model, resulting in malfunctioning of machine learning models. Such comprom…

cs.CR20211 cited

Misbehavior Detection Using Collective Perception under Privacy Considerations

Manabu Tsukada, Shimpei Arii, Hideya Ochiai +1

In cooperative ITS, security and privacy protection are essential. Cooperative Awareness Message (CAM) is a basic V2V message standard, and misbehavior detection is critical for pr…

cs.CR2021

Suspicious ARP Activity Detection and Clustering Based on Autoencoder Neural Networks

Yuwei Sun, Hideya Ochiai, Hiroshi Esaki

The rapidly increasing number of smart devices on the Internet necessitates an efficient inspection system for safeguarding our networks from suspicious activities such as Address…