activity
20182022
most citedDon't Forget to Sign the Gradients!

5 citations · 12 across the 6 of their papers we have counts for

collaborators

9 papers

cs.AR2022

MES-Attacks: Software-Controlled Covert Channels based on Mutual Exclusion and Synchronization

Chaoqun Shen, Jiliang Zhang, Gang Qu

Multi-process concurrency is effective in improving program efficiency and maximizing CPU utilization. The correct execution of concurrency is ensured by the mutual exclusion and s…

cs.LG20215 cited

Don't Forget to Sign the Gradients!

Omid Aramoon, Pin-Yu Chen, Gang Qu

Engineering a top-notch deep learning model is an expensive procedure that involves collecting data, hiring human resources with expertise in machine learning, and providing high c…

cs.LG20214 cited

Meta Federated Learning

Omid Aramoon, Pin-Yu Chen, Gang Qu +1

Due to its distributed methodology alongside its privacy-preserving features, Federated Learning (FL) is vulnerable to training time adversarial attacks. In this study, our focus i…

cs.AR20201 cited

TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture

Xueyan Wang, Jianlei Yang, Yinglin Zhao +7

Triangle counting (TC) is a fundamental problem in graph analysis and has found numerous applications, which motivates many TC acceleration solutions in the traditional computing p…

cs.ET2020

Hardware Security in Spin-Based Computing-In-Memory: Analysis, Exploits, and Mitigation Techniques

Xueyan Wang, Jianlei Yang, Yinglin Zhao +3

Computing-in-memory (CIM) is proposed to alleviate the processor-memory data transfer bottleneck in traditional Von-Neumann architectures, and spintronics-based magnetic memory has…

cs.CR20192 cited

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…