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20012026
most citedPerformance Analysis of Machine Learning Centered Workload Prediction Models for Cloud

128 citations

researchers with a paper here
collaborating institutions

39 papers

cs.CR2026

Not Discrete Enough: On the Inherent Insecurity of dTPMs for Measured Boot

Christian Werling, Tahmid Zahin, Jean-Pierre Seifert

Measured Boot, a mechanism enabled through Trusted Platform Modules (TPMs), is commonly used for passwordless protection of data-at-rest, aiming to protect data when the device is…

cs.CR2026

Measuring Healthcare Data Leaks and Security Flaws at Internet Scale

Nico Brüggemann, Lukas Schmidt, Marvin Dölzer +4

Systems that process medical data should be meticulously secured. Yet, network services in healthcare environments often fail to implement basic security measures. For example, pre…

cs.CR2026

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors

Thomas Biege, Marius Brockhoff, Jonas Kaspereit +3

Cybersecurity incident response has emerged as a critical area of interest for both researchers and practitioners. The corpus of literature on cybersecurity incident response is ex…

cs.CR2026

Analyzing Concentration, Temporal Routines and Targeting in Public Ransomware Leak Site Data

Lea Müller, York Yannikos

Ransomware has grown to become one of the most damaging types of cybercrime, affecting private and public organizations in any sector. While early types of ransomware targeted many…

cs.CV2025★ 1 cited

MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregation

Eduarda Caldeira, Fadi Boutros, Naser Damer

Face Morphing Attack Detection (MAD) is a critical challenge in face recognition security, where attackers can fool systems by interpolating the identity information of two or more…

eess.IV2025★ 4 cited

SASVi -- Segment Any Surgical Video

Ssharvien Kumar Sivakumar, Yannik Frisch, Amin Ranem +1

Purpose: Foundation models, trained on multitudes of public datasets, often require additional fine-tuning or re-prompting mechanisms to be applied to visually distinct target doma…