26 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.CR2020★ 2 cited
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…
cs.CR2020★ 26 cited
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…
cs.CR2018★ 10 cited
OAT: Attesting Operation Integrity of Embedded Devices
Zhichuang Sun, Bo Feng, Long Lu +1
Due to the wide adoption of IoT/CPS systems, embedded devices(IoT frontends) become increasingly connected and mission-critical, which in turn has attracted advanced attacks (e.g.,…