All Stories

  1. A First Look at Security and Privacy Risks in the RapidAPI Ecosystem
  2. Meta-Learning for Multi-Family Android Malware Classification
  3. End-Users Know Best: Identifying Undesired Behavior of Alexa Skills Through User Review Analysis
  4. VinJ: An Automated Tool for Large-Scale Software Vulnerability Data Generation
  5. Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces
  6. Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review
  7. VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses
  8. PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing
  9. SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase
  10. How are Multilingual Systems Constructed: Characterizing Language Use and Selection in Open-Source Multilingual Software
  11. Automatically Detecting Incompatible Android APIs
  12. VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning
  13. Demystifying Issues, Challenges, and Solutions for Multilingual Software Development
  14. A Control-Theoretic Approach to Auto-Tuning Dynamic Analysis for Distributed Services
  15. Demystifying Hidden Sensitive Operations in Android Apps
  16. Language-agnostic dynamic analysis of multilingual code: promises, pitfalls, and prospects
  17. On the vulnerability proneness of multilingual code
  18. Generating realistic vulnerabilities via neural code editing: an empirical study
  19. PolyFax: a toolkit for characterizing multi-language software
  20. WASAI: uncovering vulnerabilities in Wasm smart contracts
  21. NCScope: hardware-assisted analyzer for native code in Android apps
  22. Automatically detecting API-induced compatibility issues in Android apps: a comparative analysis (replicability study)
  23. DistFax
  24. Exploitation Techniques for Data-oriented Attacks with Existing and Potential Defense Approaches
  25. On the Impact of Sample Duplication in Machine-Learning-Based Android Malware Detection
  26. Understanding Language Selection in Multi-language Software Projects on GitHub
  27. Automatically Achieving Optimal Cost-Effectiveness Tradeoffs in Analyzing Run-Time Code Dependencies
  28. Towards learning visual semantics
  29. Exploring how deprecated Python library APIs are (not) handled
  30. Dads: dynamic slicing continuously-running distributed programs with budget constraints
  31. PCA: memory leak detection using partial call-path analysis
  32. Embracing mobile app evolution via continuous ecosystem mining and characterization
  33. Scaling application-level dynamic taint analysis to enterprise-scale distributed systems
  34. Malware Detection: How Long Does It Last and How to Make It Last Longer?
  35. A dynamic taint analyzer for distributed systems
  36. A large-scale study of application incompatibilities in Android
  37. DistIA: a cost-effective dynamic impact analysis for distributed programs