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