26 citations · 58 across the 7 of their papers we have counts for
6 papers · 1 filter
D-Box: DMA-enabled Compartmentalization for Embedded Applications
Alejandro Mera, Yi Hui Chen, Ruimin Sun +2
Embedded and Internet-of-Things (IoT) devices have seen an increase in adoption in many domains. The security of these devices is of great importance as they are often used to cont…
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks
Zhichuang Sun, Ruimin Sun, Changming Liu +3
With the increased usage of AI accelerators on mobile and edge devices, on-device machine learning (ML) is gaining popularity. Thousands of proprietary ML models are being deployed…
SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses
Ruimin Sun, Alejandro Mera, Long Lu +1
Programmable Logic Controllers (PLCs) play a critical role in the industrial control systems. Vulnerabilities in PLC programs might lead to attacks causing devastating consequences…
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps
Zhichuang Sun, Ruimin Sun, Long Lu +1
On-device machine learning (ML) is quickly gaining popularity among mobile apps. It allows offline model inference while preserving user privacy. However, ML models, considered as…
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation
Ruimin Sun, Marcus Botacin, Nikolaos Sapountzis +6
A promising avenue for improving the effectiveness of behavioral-based malware detectors would be to combine fast traditional machine learning detectors with high-accuracy, but tim…
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Ruimin Sun, Xiaoyong Yuan, Pan He +5
Existing malware detectors on safety-critical devices have difficulties in runtime detection due to the performance overhead. In this paper, we introduce PROPEDEUTICA, a framework…