Aurore Fass

Orcid: 0000-0001-6611-4447

Affiliations:
  • CISPA Helmholtz Center for Information Security, Saarbrücken, Germany


According to our database1, Aurore Fass authored at least 13 papers between 2018 and 2024.

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

2024
What is in the Chrome Web Store? Investigating Security-Noteworthy Browser Extensions.
CoRR, 2024

COOKIEGUARD: Characterizing and Isolating the First-Party Cookie Jar.
CoRR, 2024

Peeking through the window: Fingerprinting Browser Extensions through Page-Visible Execution Traces and Interactions.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

What is in the Chrome Web Store?
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

When Adversarial Perturbations meet Concept Drift: An Exploratory Analysis on ML-NIDS.
Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023
Cloud Watching: Understanding Attacks Against Cloud-Hosted Services.
Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

2022
A world wide view of browsing the world wide web.
Proceedings of the 22nd ACM Internet Measurement Conference, 2022

2021
Statically Detecting JavaScript Obfuscation and Minification Techniques in the Wild.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

DoubleX: Statically Detecting Vulnerable Data Flows in Browser Extensions at Scale.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Studying JavaScript Security Through Static Analysis.
PhD thesis, 2020

2019
HideNoSeek: Camouflaging Malicious JavaScript in Benign ASTs.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

JStap: a static pre-filter for malicious JavaScript detection.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018
JaSt: Fully Syntactic Detection of Malicious (Obfuscated) JavaScript.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2018


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