Kaiming Cheng

I'm a PhD candidate at the University of Washington in the Security & Privacy Research Lab. I'm fortunate to have two wonderful advisors: Franziska Roesner and Tadayoshi Kohno.

My research focuses on the security and privacy of emerging technologies. Currently, I work on the security and privacy of Augmented/Mixed Reality.

I went to college at the University of Virginia and received my B.A. in 2019 and M.S. in 2020. My undergrad advisors are Yuan Tian and Matthew Burtner.

Kaiming Cheng

kaimingc at cs dot washington dot edu

Paul G. Allen School of Computer Science & Engineering
University of Washington
Bill & Melinda Gates Center, CSE2 331
Seattle, WA 98195

GitHub

Google Scholar

What's New

• [January 2024] I have successfully passed the General Exam and have officially become a Ph.D. candidate.
• [January 2024] One paper accepted by CHI 2024.
• [December 2023] I will join the AR/VR team at JPMorgan Chase as Summer Research Associate in 2024.
• [September 2023] One paper accepted by USENIX Security 2024.
• [August 2023] I gave a talk at USENIX Security 2023 on our PMA paper.
• [June 2023] I serve as a member of the Program Committee for IEEE Magazine: Security and Privacy for the Metaverse.
• [June 2023] I gave a talk at the University of Illinois Urbana-Champaign on our PMA paper.

Education

University of Washington

PhD in Computer Science (Aug 2020 – Present, Corin Anderson Endowed Fellowship)

University of Virginia

M.S. in Computer Science (Aug 2019 – May 2020, Department Academic Excellence Fellowship)

B.A. in Music, Computer Science (Aug 2015 – May 2019, Distinguished major programs & High Honors)

Publication

Selected peer-reviewed papers

RASSAR: Room Accessibility and Safety Scanning in Augmented Reality
Xia Su, Han Zhang, Kaiming Cheng, Jaewook Lee, Wyatt Olson, and Jon E. Froehlich
ACM Conference on Human Factors in Computing Systems (CHI), 2024

When the User Is Inside the User Interface: An Empirical Study of UI Security Properties in Augmented Reality
Kaiming Cheng, Arka Bhattacharya, Michelle Lin, Jaewook Lee, Aroosh Kumar, Jeffery F. Tian, Tadayoshi Kohno, Franziska Roesner
The 33rd USENIX Security Symposium, 2024

Exploring User Reactions and Mental Models Towards Perceptual Manipulation Attacks in Mixed Reality
Kaiming Cheng, Jeffery F. Tian, Tadayoshi Kohno, Franziska Roesner
The 32nd USENIX Security Symposium, 2023

TKPERM: Cross-platform Permission Knowledge Transfer to Detect Overprivileged Third-party Applications
FH Shezan, Kaiming Cheng, Z Zhang, Y Cao, Y Tian
Network and Distributed Systems Security (NDSS) Symposium, 2020

Lightly-Reviewed Posters, Extended Abstracts and Workshop Papers

A Demonstration of RASSAR: Room Accessibility and Safety Scanning in Augmented Reality.
Xia Su, Kaiming Cheng, Han Zhang, Jaewook Lee, Wyatt Olson, and Jon E. Froehlich
ASSETS’23 Poster 2023

Towards semi-automatic detection and localization of indoor accessibility issues using mobile depth scanning and computer vision.
Xia Su, Kaiming Cheng, Han Zhang, Jaewook Lee, Yueqian Zhang, and Jon E. Froehlich
ASSETS’22 Workshop on The Future of Urban Accessibility, 2023

Melodypainter: Draw the melody in Virtual Reality
Kaiming Cheng
New Interfaces for Musical Expression (NIME), 2018

Mentoring

I am very fortunate to work with these excellent students:

Master students

• Arka Bhattacharya (PhD Student, Cornell University)
• Michelle Lin (Now at Microsoft)

Undergraduate students

• Aroosh Kumar (Now at Salesforce)
• Jeffery Tian (Now at Meta)

Teaching

University of Washington (Teaching Assistant)

• CSE 484 Computer Security (Winter 2024)
• CSE 481s Computer Security Capstone (Spring 2022)

University of Virginia (Teaching Assistant)

• CS 5010 Programming and Systems for Data Science (Fall 2019)
• CS 2150 Program and Data Representation (Fall 2017, Spring 2018)

Thanks to Vasilios Mavroudis for website template