Publications

TESTABLE Project Publications

Publications

Scientific Publications

In the following list are reported all the accepted scientific publications from TESTABLE partners under its funding.

  1. Unique on Facebook: formulation and evidence of (nano)targeting individual users with non-PII data
  2. When Sally Met Trackers: Web Tracking From the Users' Perspective
  3. Testability Tarpits: the Impact of Code Patterns on the Security Testing of Web Applications
  4. SoK: Exploring Current and Future Research Directions on XS-Leaks through an Extended Formal Model
  5. SecML: Secure and Explainable Machine Learning in Python
  6. Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware
  7. Keeping Privacy Labels Honest
  8. Hand Sanitizers in the Wild: A Large-scale Study of Custom JavaScript Sanitizer Functions
  9. It's (DOM) Clobbering Time: Attack Techniques, Prevalence, and Defenses
  10. Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
  11. Explaining Machine Learning DGA Detectors from DNS Traffic Data
  12. Robust Machine Learning for Malware Detection over Time
  13. FUZZILLI: Fuzzing for JavaScript JIT Compiler Vulnerabilities
  14. The OK Is Not Enough: A Large Scale Study of Consent Dialogs in Smartphone Applications
  15. Accept All Exploits: Exploring the Security Impact of Cookie Banners
  16. Scripted Henchmen: Leveraging XS-Leaks for Cross-Site Vulnerability Detection
  17. WHIP: Improving Static Vulnerability Detection in Web Application by Forcing tools to Collaborate
  18. Rods with Laser Beams: Understanding Browser Fingerprinting on Phishing Pages
  19. The Leaky Web: Automated Discovery of Cross-Site Information Leaks in Browsers and the Web