Sotabase

Career

· Associate Professor, The Johns Hopkins University2024–
· Assistant Professor, The Johns Hopkins University2018–2024
· Assistant Professor, Lehigh University2015–2018
· Postdoctoral Scientist, Columbia University2014–2015
· Assistant Specialist, UC Santa Barbara2013–2013
· Student Associate, SRI International2011–2011
· PhD in Computer Science, Northwestern University2008–2014
· Research Assistant, Northwestern University2008–2014
· Research Assistant, Tsinghua University2007–2008
· Bachelor of Engineering in Electronic Engineering, Tsinghua University2004–2008

Publications (71)

DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Symposium on Operating Systems Principles · 2017
1,481
cited
Towards Making Systems Forget with Machine Unlearning
IEEE Symposium on Security and Privacy · 2015
933
cited
TrustLLM: Trustworthiness in Large Language Models
arXiv.org · 2024
294
cited
Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware
Conference on Computer and Communications Security · 2020
210
cited
(Cross-)Browser Fingerprinting via OS and Hardware Level Features
Network and Distributed System Security Symposium · 2017
196
cited
EdgeMiner: Automatically Detecting Implicit Control Flow Transitions through the Android Framework
Network and Distributed System Security Symposium · 2015
194
cited
Practical Blind Membership Inference Attack via Differential Comparisons
Network and Distributed System Security Symposium · 2021
133
cited
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
European Conference on Computer Vision · 2020
129
cited
Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems
arXiv.org · 2017
108
cited
DeepXplore
Communications of the ACM · 2019
94
cited
Vetting SSL Usage in Applications with SSLINT
IEEE Symposium on Security and Privacy · 2015
70
cited
Detecting Node.js prototype pollution vulnerabilities via object lookup analysis
ESEC/SIGSOFT FSE · 2021
64
cited
Position: TrustLLM: Trustworthiness in Large Language Models
International Conference on Machine Learning · 2024
61
cited
Mining Node.js Vulnerabilities via Object Dependence Graph and Query
USENIX Security Symposium · 2022
60
cited
An Ever-evolving Game: Evaluation of Real-world Attacks and Defenses in Ethereum Ecosystem
USENIX Security Symposium · 2020
59
cited
CSPAutoGen: Black-box Enforcement of Content Security Policy upon Real-world Websites
Conference on Computer and Communications Security · 2016
55
cited
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation
USENIX Security Symposium · 2023
55
cited
Efficient Repair of Polluted Machine Learning Systems via Causal Unlearning
ACM Asia Conference on Computer and Communications Security · 2018
50
cited
PathCutter: Severing the Self-Propagation Path of XSS JavaScript Worms in Social Web Networks
Network and Distributed System Security Symposium · 2012
50
cited
De-obfuscation and Detection of Malicious PDF Files with High Accuracy
Hawaii International Conference on System Sciences · 2013
48
cited
Sotabase
Yinzhi Cao | Researcher Profile | Sotabase | Sotabase