12 citations · 21 across the 6 of their papers we have counts for
6 papers
SEALing Neural Network Models in Secure Deep Learning Accelerators
Pengfei Zuo, Yu Hua, Ling Liang +3
Deep learning (DL) accelerators are increasingly deployed on edge devices to support fast local inferences. However, they suffer from a new security problem, i.e., being vulnerable…
A Scalable Learned Index Scheme in Storage Systems
Pengfei Li, Yu Hua, Pengfei Zuo +1
Index structures are important for efficient data access, which have been widely used to improve the performance in many in-memory systems. Due to high in-memory overheads, traditi…
SAWL:A Self-adaptive Wear-leveling NVM Scheme for High Performance Storage Systems
Jianming Huang, Yu Hua, Pengfei Zuo +2
In order to meet the needs of high performance computing (HPC) in terms of large memory, high throughput and energy savings, the non-volatile memory (NVM) has been widely studied d…
Efficient Similarity-aware Compression to Reduce Bit-writes in Non-Volatile Main Memory for Image-based Applications
Zhangyu Chen, Yu Hua, Pengfei Zuo +2
Image bitmaps have been widely used in in-memory applications, which consume lots of storage space and energy. Compared with legacy DRAM, non-volatile memories (NVMs) are suitable…
A Secure and Persistent Memory System for Non-volatile Memory
Pengfei Zuo, Yu Hua, Yuan Xie
In the non-volatile memory, ensuring the security and correctness of persistent data is fundamental. However, the security and persistence issues are usually studied independently…
Bandwidth-efficient Storage Services for Mitigating Side Channel Attack
Pengfei Zuo, Yu Hua, Cong Wang +4
Data deduplication is able to effectively identify and eliminate redundant data and only maintain a single copy of files and chunks. Hence, it is widely used in cloud storage syste…