Ruoyu Wu | 吴若宇

About

I am a Ph.D. candidate in the Department of Computer Science at Purdue University, advised by Prof.Dongyan Xu and Prof.Antonio Bianchi. I am also working closely with Prof.Dave (Jing) Tian. I previously obtained my B.Sc. degree in the Department of Computer Science from Sun Yat-sen University in 2018.

Publications

Are You Spying on Me? Large-Scale Analysis on IoT Data Exposure through Companion Apps [paper]
Yuhong Nan*, Xueqiang Wang*, Luyi Xing, Xiaojing Liao, Ruoyu Wu, Jianliang Wu, Yifan Zhang, XiaoFeng Wang (*co-first author)
Proceedings of the 32nd USENIX Security Symposium (USENIX Security), 2023
(acceptance rate: TBD)

DnD: Decompiling Deep Neural Network Compiled Binary (40-Minute Briefing) [link]
Ruoyu Wu, Taegyu Kim, Dave (Jing) Tian, Antonio Bianchi, Dongyan Xu
Black Hat Europe 2022

DnD: A Cross-Architecture Deep Neural Network Decompiler [paper] [code]
Ruoyu Wu, Taegyu Kim, Dave (Jing) Tian, Antonio Bianchi, Dongyan Xu
Proceedings of the 31st USENIX Security Symposium (USENIX Security), 2022
(acceptance rate: 256/1492=17.1%)

Formal Model-Driven Discovery of Bluetooth Protocol Design Vulnerabilities [paper] [code]
Jianliang Wu, Ruoyu Wu, Dongyan Xu, Dave (Jing) Tian, Antonio Bianchi
Proceedings of the 43rd IEEE Symposium on Security and Privacy (S&P), 2022
(acceptance rate: 147/1012=14.5%)

LIGHTBLUE: Automatic Profile-Aware Debloating of Bluetooth Stacks [paper] [code]
Jianliang Wu*, Ruoyu Wu*, Daniele Antonioli, Mathias Payer, Nils Ole Tippenhauer, Dongyan Xu, Dave (Jing) Tian, Antonio Bianchi (* co-first author)
Proceedings of the 30th USENIX Security Symposium (USENIX Security), 2021
(acceptance rate: 246/1316=18.7%)

Experiences

Research Assistant, Purdue University
Aug. 2018 - Present
Designed and developed static/dynamic program analysis techniques for Bluetooth security and Machine Learning security

Software Engineer Intern, FMA Technology (Acquired by Ant Group)
Apr. 2018 - July 2018
Developed distributed graph database

Research Assistant, The Chinese University of Hong Kong
July 2017 - Sept. 2017; Jan. 2018 - Apr. 2018
Designed and developed distributed machine learning system

Awards

National Scholarship (top 1% nationwide), Ministry of Education of China, 2015 and 2017

Services

Program Committee
IEEE ISSRE RSDA ‘22

Artifact Evaluation Committee
USENIX Security ‘22, ‘23
EuroSys ‘23

External Reviewer
IEEE S&P ‘21
USENIX Security ‘21, ‘23
ACM CCS ‘22
ISOC NDSS ‘21, ‘22, ‘23
ACM ASIACCS ‘21, ‘22

Personal

I love travelling and living in different places

• The places I have visited in North America.
• The places I have lived/stayed: Guangzhou (22 years), Berkeley (2 months), Edmonton (4 months), Vancouver (1 month), Hong Kong (6 months), Beijing (4 months), West Lafayette (current), Chicago (2 months), Indianapolis (3 months), Jersey City (1 month).

My hobbies include skiing, soccer, badminton, video games, and importantly, playing with my cats (with GIFs!).