Sotabase

Career

· Assistant Professor, The Hong Kong University of Science and Technology2023–
· PhD in Computer Science, Columbia University
· Bachelor's degree, Huazhong University of Science and Technology
· Researcher, University of California, Riverside

Publications (17)

NEUZZ: Efficient Fuzzing with Neural Program Smoothing
IEEE Symposium on Security and Privacy · 2018
211
cited
Android Root and its Providers: A Double-Edged Sword
Conference on Computer and Communications Security · 2015
79
cited
On Training Robust PDF Malware Classifiers
USENIX Security Symposium · 2019
75
cited
Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis
IEEE Symposium on Security and Privacy · 2022
72
cited
MTFuzz: fuzzing with a multi-task neural network
ESEC/SIGSOFT FSE · 2020
70
cited
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks
IEEE Symposium on Security and Privacy · 2019
52
cited
NEUZZ: Efficient Fuzzing with Neural Program Learning
arXiv.org · 2018
42
cited
MC2: Rigorous and Efficient Directed Greybox Fuzzing
Conference on Computer and Communications Security · 2022
30
cited
Android ION Hazard: the Curse of Customizable Memory Management System
Conference on Computer and Communications Security · 2016
21
cited
FOX: Coverage-guided Fuzzing as Online Stochastic Control
2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT) · 2024
8
cited
NeuDep: neural binary memory dependence analysis
ESEC/SIGSOFT FSE · 2022
8
cited
Precise Detection of Kernel Data Races with Probabilistic Lockset Analysis
IEEE Symposium on Security and Privacy · 2023
7
cited
Fine Grained Dataflow Tracking with Proximal Gradients
USENIX Security Symposium · 2019
3
cited
ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference
Proc. ACM Softw. Eng. · 2025
1
cited
Comment on Revisiting Neural Program Smoothing for Fuzzing
arXiv.org · 2024
Poster: Precise Dynamic Dataflow Tracking with Proximal Gradients
2019
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Dongdong She | Researcher Profile | Sotabase | Sotabase