Xiaolin Xu

Associate Professor,  Electrical and Computer Engineering

Contact

Office

  • 424 Dana

Related Links

Research Focus

Security, Machine Learning, AI Security/Privacy, Energy-efficient Deep Learning, Computer Architecture, FPGA, Embedded Systems, VLSI

Education

  • PhD, Electrical and Computer Engineering, University of Massachusetts Amherst, 2016

Research Overview

Security, Machine Learning, AI Security/Privacy, Energy-efficient Deep Learning, Computer Architecture, FPGA, Embedded Systems, VLSI

Selected Publications

See faculty website (https://www.xiaolinxu.com/publication.html) for updated publication list.

 

Google Scholar
Xiaolin Xu

Faculty

Aug 25, 2025

Advancing Ultra-Efficient AI for Wearables and IoT

ECE Assistant Professor Xiaolin Xu, in collaboration with the University of California-Riverside, was awarded a $560K NSF grant for “Designing and Optimizing Tiny Vector Symbolic Architectures for Ultra-Efficient Inference on Tiny Devices.”

Faculty

Jul 01, 2025

Xu Honored with DAC Under-40 Innovators Award

ECE Assistant Professor Xiaolin Xu was named a recipient of the 2025 IEEE/ACM Design Automation Conference (DAC) Under-40 Innovators Award.

Faculty

Jan 31, 2025

2024 Stanford University Annual Assessment of Author Citations

The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2% of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes those who published a paper in 2024 or later.

Faculty

Nov 13, 2023

$1.5M ARL Grant To Improve Cybersecurity and Robustness in Additive Manufacturing

MIE Professor Sinan Müftü and Assistant Professor Ozan Özdemir were awarded a $1.5 million research grant by the Army Research Laboratories (ARL) to spearhead innovative initiatives in cybersecurity and enhancement of mechanical robustness in parts and coatings produced through Cold Spray Additive Manufacturing.

Xiaolin Xu

Faculty

Jul 25, 2023

Enhancing Security for Brain-Inspired Computing

ECE Assistant Professor Xiaolin Xu, in collaboration with Shaolei Ren from the University of California-Riverside, was awarded a $600,000 NSF grant for “Securing Brain-Inspired Hyperdimensional Computing Against Design-time and Run-time Attacks for Edge Devices.”

Faculty

Jul 21, 2023

$1.2M NSF Award for Securing Scientific Cyberinfrastructures From Advanced Attacks

ECE Assistant Professor Xiaolin Xu is leading a $1.2 million NSF grant, in collaboration with ECE Professor Miriam Leeser and Mike Zink from the University of Massachusetts, for “CAREFREE:Cloud infrAstructure ResiliencE of the Future foR tEstbeds, accelerators and nEtworks.”

Xiaolin Xu

Faculty

Jul 14, 2023

NSF CAREER Award To Enhance the Security of Machine Learning Hardware Accelerators

ECE Assistant Professor Xiaolin Xu was awarded a $600,000 NSF CAREER Award for “Securing Reconfigurable Hardware Accelerator for Machine Learning: Threats and Defenses.”

Xiaolin Xu

Faculty

Jul 06, 2023

$1.2M NSF Award for Making AI More Secure With Privacy-Preserving ML

ECE Assistant Professor Xiaolin Xu, in collaboration with Wujie Wen from Lehigh University and Caiwen Ding from the University of Connecticut, was awarded a $1.2 million NSF grant for “Accelerating Privacy-Preserving Machine Learning as a Service: From Algorithm to Hardware.”

Faculty

Oct 31, 2022

IEEE/ACM William J. McCalla ICCAD Best Paper Nomination

ECE Assistant Professor Xiaolin Xu and student Tong Zhou, PhD’25, and coauthor Shaolei Ren from UC Riverside received the IEEE/ACM William J. McCalla ICCAD Best Paper Nomination at the 2022 International Conference on Computer-Aided Design (IEEE/ACM ICCAD, San Diego, CA), for their paper titled “ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach.”

Xiaolin Xu

Faculty

Jul 18, 2022

Creating Defenses Against Multi-Tenant ML Cloud-FPGA Vulnerabilities

ECE Assistant Professor Xiaolin Xu, in collaboration with Arizona State University, was awarded a $500K NSF grant to design a “Secure and Robust Machine Learning in Multi-Tenant Cloud FPGA.”

View All Related News