2 citations · 2 across the 2 of their papers we have counts for
4 papers
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Wei Jia, Zhaojun Lu, Haichun Zhang +3
Adversarial Examples (AEs) can deceive Deep Neural Networks (DNNs) and have received a lot of attention recently. However, majority of the research on AEs is in the digital domain…
LEAP: A Lightweight Encryption and Authentication Protocol for In-Vehicle Communications
Zhaojun Lu, Qian Wang, Xi Chen +3
The Controller Area Network (CAN) is considered as the de-facto standard for the in-vehicle communications due to its real-time performance and high reliability. Unfortunately, the…
An Entropy Analysis based Intrusion Detection System for Controller Area Network in Vehicles
Qian Wang, Zhaojun Lu, Gang Qu
Dozens of Electronic Control Units (ECUs) can be found on modern vehicles for safety and driving assistance. These ECUs also introduce new security vulnerabilities as recent attack…
BARS: a Blockchain-based Anonymous Reputation System for Trust Management in VANETs
Zhaojun Lu, Qian Wang, Gang Qu +1
The public key infrastructure (PKI) based authentication protocol provides the basic security services for vehicular ad-hoc networks (VANETs). However, trust and privacy are still…