7 citations · 12 across the 6 of their papers we have counts for
6 papers
The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
Rebeka Toth, Tamas Bisztray, Nils Gruschka
In this paper, we introduce a metadata-enriched generation framework (PhishFuzzer) that seeds real emails into Large Language Models (LLMs) to produce 23,100 diverse, structurally…
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution
Tamas Bisztray, Bilel Cherif, Richard A. Dubniczky +6
Detecting AI-generated code, deepfakes, and other synthetic content is an emerging research challenge. As code generated by Large Language Models (LLMs) becomes more common, identi…
Qualitative In-Depth Analysis of GDPR Data Subject Access Requests and Responses from Major Online Services
Daniela Pöhn, Nils Gruschka
The European General Data Protection Regulation (GDPR) grants European users the right to access their data processed and stored by organizations. Although the GDPR contains requir…
Device-Bound vs. Synced Credentials: A Comparative Evaluation of Passkey Authentication
Andre Büttner, Nils Gruschka
With passkeys, the FIDO Alliance introduces the ability to sync FIDO2 credentials across a user's devices through passkey providers. This aims to mitigate user concerns about losin…
Evaluating the Influence of Multi-Factor Authentication and Recovery Settings on the Security and Accessibility of User Accounts
Andre Büttner, Nils Gruschka
Nowadays, most online services offer different authentication methods that users can set up for multi-factor authentication but also as a recovery method. This configuration must b…
Is It Really You Who Forgot the Password? When Account Recovery Meets Risk-Based Authentication
Andre Büttner, Andreas Thue Pedersen, Stephan Wiefling +2
Risk-based authentication (RBA) is used in online services to protect user accounts from unauthorized takeover. RBA commonly uses contextual features that indicate a suspicious log…