Ruoyu Wu | 吴若宇

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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


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