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Katja Tuma

Assistant Professor

Vrije Universiteit

Netherlands

Research Interests

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Professors in Netherlands Professors in Cybersecurity Cybersecurity professors in Netherlands

About

Katja Tuma is an Assistant Professor at Vrije Universiteit in the Netherlands. Her research interests encompass security misconfigurations, vulnerability detection, and the impact of AI on security practices. Recent articles include studies on the efficacy of Data Flow Diagrams, challenges in using Large Language Models for code generation, and the implications of gender in security decision-making.

Articles (17)

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2023

Collaborators (2)

E. Mezzi

Vrije Universiteit Amsterdam

NETHERLANDS

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Marcelo d'Amorim

Associate Professor in Computer Science

North Carolina State University

UNITED STATES

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Katja Tuma

Research Interests

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About

Articles (17)

Less is more

Technical Briefing on Beyond A/B Testing - Orthogonal and Experimental Designs

Automated Analysis of Security Policy Violations in Helm Charts

Algorithm Perception When Using Threat Intelligence in Vulnerability Risk Assessment

Analyzing and mitigating (with LLMs) the security misconfigurations of Helm charts from Artifact Hub

Assessing the usefulness of Data Flow Diagrams for validating security threats

On the effects of program slicing for vulnerability detection during code inspection

Risks of ignoring uncertainty propagation in AI‐augmented security pipelines

Challenges to Using Large Language Models in Code Generation and Repair

In Specs We Trust? Conformance-Analysis of Implementation to Specifications in Node-RED and Associated Security Risks

Large Language Models Are Unreliable for Cyber Threat Intelligence

On the Measures of Success in Replication of Controlled Experiments with STRIDE

Role of Gender in the Evaluation of Security Decisions

Delta Security Certification for Software Supply Chains

Delta Security Certification for Software Supply Chains

A new, evidence-based, theory for knowledge reuse in security risk analysis

Checking security compliance between models and code

Collaborators (2)

E. Mezzi

Marcelo d'Amorim

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