Song Li

Orcid: 0000-0002-7961-8502

Affiliations:
  • School of Cyber Science and Technology/College of Computer Science and Technology, Zhejiang University, China


According to our database1, Song Li authored at least 26 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Towards a comprehensive framework for verifying open-source software license compatibility.
Empir. Softw. Eng., February, 2026

2025
Large Language Models Cannot Reliably Detect Vulnerabilities in JavaScript: The First Systematic Benchmark and Evaluation.
CoRR, December, 2025

SmartGuard: Leveraging Large Language Models for Network Attack Detection through Audit Log Analysis and Summarization.
CoRR, June, 2025

BPFDex: Enabling Robust Android Apps Unpacking via Android Kernel.
IEEE Trans. Inf. Forensics Secur., 2025

Understanding Industry Perspectives of Static Application Security Testing (SAST) Evaluation.
Proc. ACM Softw. Eng., 2025

SigScope: Detecting and Understanding Off-Chain Message Signing-related Vulnerabilities in Decentralized Applications.
Proceedings of the ACM on Web Conference 2025, 2025

Follow My Flow: Unveiling Client-Side Prototype Pollution Gadgets from One Million Real-World Websites.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

SiFMimicEvader: Evading Fake Voice Detection with Adversarial Neural Mimicry Attacks.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

ISGraphVD: Precise Vulnerability Detection for IoT Supply Chains Based on Identifier Sensitive Graph.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

LLM-SZZ: Novel Vulnerability-Inducing Commit Identification Driven by Large Language Model and CVE Description.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

2024
Sensitive Behavioral Chain-Focused Android Malware Detection Fused With AST Semantics.
IEEE Trans. Inf. Forensics Secur., 2024

GraphTunnel: Robust DNS Tunnel Detection Based on DNS Recursive Resolution Graph.
IEEE Trans. Inf. Forensics Secur., 2024

What's the Real: A Novel Design Philosophy for Robust AI-Synthesized Voice Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LiScopeLens: An Open-Source License Incompatibility Analysis Tool Based on Scope Representation of License Terms.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Ghost-in-Wave: How Speaker-Irrelative Features Interfere DeepFake Voice Detectors.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

SQLStateGuard: Statement-Level SQL Injection Defense Based on Learning-Driven Middleware.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023
Scaling JavaScript Abstract Interpretation to Detect and Exploit Node.js Taint-style Vulnerability.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

CoCo: Efficient Browser Extension Vulnerability Detection via Coverage-guided, Concurrent Abstract Interpretation.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
Mining Node.js Vulnerabilities via Object Dependence Graph and Query.
Proceedings of the 31st USENIX Security Symposium, 2022

Probe the Proto: Measuring Client-Side Prototype Pollution Vulnerabilities of One Million Real-world Websites.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

GraphTrack: A Graph-based Cross-Device Tracking Framework.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021
Detecting Node.js prototype pollution vulnerabilities via object lookup analysis.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
Who Touched My Browser Fingerprint?: A Large-scale Measurement Study and Classification of Fingerprint Dynamics.
Proceedings of the IMC '20: ACM Internet Measurement Conference, 2020

2019
Rendered Private: Making GLSL Execution Uniform to Prevent WebGL-based Browser Fingerprinting.
Proceedings of the 28th USENIX Security Symposium, 2019

2017
(Cross-)Browser Fingerprinting via OS and Hardware Level Features.
Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Deterministic Browser.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017


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