Ruoyu Wu | 吴若宇



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.


Are You Spying on Me? Large-Scale Analysis on IoT Data Exposure through Companion Apps [paper] [code/dataset]
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%)


Software Engineer Intern, Google
May 2023 - Aug. 2023
On automatic fuzz testing framework for machine learning compiler (XLA)

Research Assistant, Purdue University
Aug. 2018 - Apr. 2023
Designed and developed static/dynamic program analysis techniques for Machine Learning and Bluetooth

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


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


Program Committee

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

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


I love travelling and living in different places

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