5 papers
PS-UIE: Privilege-Separated Integrity Enforcement for User-Space Executable Objects in Confidential VMs
Jingkai Mao, Xiaolin Chang
Confidential Virtual Machines (CVMs), such as AMD SEV-SNP, enable cloud tenants to run security-sensitive workloads, but tenants can rely on the execution of these workloads only w…
Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving
Qi Wei, Junchao Fan, Zhao Yang +3
Reinforcement learning (RL) has shown considerable potential in autonomous driving (AD), yet its vulnerability to perturbations remains a critical barrier to real-world deployment.…
PDRIMA: A Policy-Driven Runtime Integrity Measurement and Attestation Approach for ARM TrustZone-based TEE
Jingkai Mao, Xiaolin Chang
Trusted Execution Environments (TEEs) such as ARM TrustZone are widely used in IoT and embedded devices to protect sensitive code and data. However, most existing defenses focus on…
TPM2.0-Supported Runtime Customizable TEE on FPGA-SoC with User-Controllable vTPM
Jingkai Mao, Xiaolin Chang
Constructing a Trusted Execution Environment (TEE) on Field Programmable Gate Array System on Chip (FPGA-SoC) in Cloud can effectively protect users' private intel-lectual Property…
Towards Trust Proof for Secure Confidential Virtual Machines
Jingkai Mao, Haoran Zhu, Junchao Fan +2
The Virtual Machine (VM)-based Trusted-Execution-Environment (TEE) technology, like AMD Secure-Encrypted-Virtualization (SEV), enables the establishment of Confidential VMs (CVMs)…