Yicheng(亦成) Zhang

I am a Ph.D. at UC Riverside, where I am fortunately advised by Prof. Nael Abu-Ghazaleh.

Prior to that, I received my M.Sc. from UC Irvine, and my B.S. from Sichuan University.

My interest lies in computer security and computer architecture.

Email /  CV  /  Scholar  /  Github  /  LinkedIn  /  Twitter

Recent News

– March 2023: I will be joining PNNL as a PhD Intern for the summer'23!

– February 2023: Another paper accepted by [Usenix Security 2023] on AR/VR security!

– November 2022: One AR/VR security paper accepted by [Usenix Security 2023]. My 1st Security Big 4!

– May 2022: Received student travel grants from [gem5 Bootcamp 2022].

– July 2021: Received student travel grant from [Usenix Security 2021].

Education
Ph.D. in Electrical Engineering 2021-2025
University of California, Riverside | Riverside, California
M.Sc. in Computer Engineering 2018-2020
University of California, Irvine | Irvine, California
B.S. in Electrical Engineering and Automation 2014-2018
Sichuan University | Chengdu, Sichuan
Publications
Usenix Sec 2023
Going through the motions: AR/VR keylogging from user head motions
Carter Slocum, Yicheng Zhang, Nael Abu-Ghazaleh, Jiasi Chen
The 32nd USENIX Security Symposium, Anaheim, CA, USA, August, 2023.
PDF / Slides / BibTex
Usenix Sec 2023
It's all in your head(set): Side-channel attacks on AR/VR systems
Yicheng Zhang, Carter Slocum, Jiasi Chen, Nael Abu-Ghazaleh
The 32nd USENIX Security Symposium, Anaheim, CA, USA, August, 2023.
PDF / Demo / Slides / BibTex
IEEE TIFS
Stealing Neural Network Structure through Remote FPGA Side-channel Analysis
Yicheng Zhang, Rozhin Yasaei, Hao Chen, Zhou Li, Mohammad Abdullah Al Faruque
IEEE Transactions on Information Forensics and Security, August, 2021.
PDF / Slides / BibTex
FPGA 2021
Poster: Stealing Neural Network Structure through Remote FPGA Side-channel Analysis
Yicheng Zhang, Rozhin Yasaei, Hao Chen, Zhou Li, Mohammad Abdullah Al Faruque
The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event USA, February, 2021.
Abstract / BibTex
DSN 2020
Leaky DNN: Stealing Deep-Learning Model Secret with GPU Context-Switching Side-Channel
Junyi Wei*, Yicheng Zhang*, Zhe Zhou, Zhou Li, Mohammad Abdullah Al Faruque
*Equal contribution.
The 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Valencia, Spain, June, 2020.
Acceptance Rate: 16.5% (48/291)
PDF / Slides / Video / Code / BibTex
Honors and Awards
Student Travel Grant | 1st gem5 Boot Camp 2022
Student Travel Grant | 30th USENIX Security Symposium 2021
Student Travel Grant | 42nd IEEE Symposium on Security and Privacy 2021
Dean's Distinguished Fellowship Award | UC Riverside 2021
Sichuan University Scholarship | Sichuan University 2014-2018
Outstanding Students Leader | Sichuan University 2016
Teaching
teaching

While at UC Irvine, I was a teaching assistant for the following courses:

Continuous-Time Signals and Systems
TA for EECS150 - Winter 2020

Sytem Software
TA for EECS111 - Spring 2020

Object Oriented System Programming
TA for EECS40 - Fall 2020

Next Generation Search Systems
TA for CS125 - Winter 2021

Organization of Digital Computers
TA for EECS112 - Spring 2021

Professional Service

Reviewer: ICPS'20, CYBER'21, CYBER'22, IEEE TIFS, IEEE TC, IJACT, SCN

Sub-reviewer: DATE'19/'20, CODES+ISSS'20, NDSS'20, DSN'20, RTSS'21, MICRO'22, HPCA'22

Artifact Evaluation: MICRO'22

About me
teaching

In my free time, I love to ride road bikes. In the summer of 2018, I cycled around Taiwan island with my friends. I was a member of University of California Irvine Cycling Club and was the leader of Sichuan University Cycling Club.

teaching

Also, I like to capture the beautiful moments of our life stories with my wife, Jinrun and our beautiful little lions (Slow-Slow and Hanna). They are all Maine Coon! We will have a son (Xiao Tuan) this June. Still can not believe it. Life is incredible!

Subscribe our bilibili channel and watch our Vlog! (๑•̀ㅂ•́)و✧

A road to be a good researcher in computer architecture & security.

Visitors from the world



Awesome webpage from Jon Barron