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. José González-Cabañas, Ángel Cuevas, Rubén Cuevas, Juan López-Fernández, and David García, Unique on Facebook: formulation and evidence of (nano)targeting individual users with non-PII data, Association for Computing Machinery
  2. Savino Dambra, Iskander Sanchez-Rola, Leyla Bilge, Davide Balzarotti, When Sally Met Trackers: Web Tracking From the Users' Perspective, USENIX Association
  3. Feras Al Kassar, Giulia Clerici, Luca Compagna, Fabian Yamaguchi, Davide Balzarotti, Testability Tarpits: the Impact of Code Patterns on the Security Testing of Web Applications, NDSS 2022
  4. Tom Van Goethem, Gertjan Franken, Iskander Sanchez-Rola, David Dworken, and Wouter Joosen, SoK: Exploring Current and Future Research Directions on XS-Leaks through an Extended Formal Model, Asia CSS 2022
  5. Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, and Battista Biggio, SecML: Secure and Explainable Machine Learning in Python, SoftwareX 2022
  6. Luca Demetrio, Battista Biggio, and Fabio Roli, Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware, IEEE Computer & Security Magazine 2022
  7. Simon Koch, Malte Wessels, Benjamin Altpeter, Madita Olvermann, and Martin Johns, Keeping Privacy Labels Honest, PETs 2022
  8. David Klein, Thomas Barber, Souphiane Bensalim, Ben Stock, and Martin Johns, Hand Sanitizers in the Wild: A Large-scale Study of Custom JavaScript Sanitizer Functions, Euro S&P 2022
  9. Soheil Khodayari, and Giancarlo Pellegrino, It's (DOM) Clobbering Time: Attack Techniques, Prevalence, and Defenses, IEEE S&P 2023