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Dynamic analysis of mobile apps
Large-scale mobile app analysis to find security and privacy issues

Hidden Dangers: Uncovering Security and Privacy Risks through Large-scale Mobile App Analysis

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KI in der Beschaffung & Beschaffung von KI | AI in Procurement & Procurement of AI

Advancing Privacy in Federated Learning

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Intellectual Property Protection in Open Data Sharing

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We use AI/LLMs to make security testing more efficient. Our goal is to automate tedious tasks to reduce the chronic stress put on penetration-testers while broadening the access to security testing.

LLM Agents for Offensive Security

group of IoT devices
Research into the security of IoT devices and analysis of their vulnerabilities in order to better understand the “Internet of Insecure Things” and make it more secure.

Analyzing and Understanding the Internet of Insecure Things

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The project develops hardware for post-quantum cryptography to ensure secure key establishment, and also investigates homomorphic encryption for enabling privacy-preserving computation in the future.

Hardware Design for Post-Quantum Cryptography and Homomorphic Encryption

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Doppelbestrafungsverbot im (Digital)Kartell- und Regulierungsrecht

Ne bis in idem im Verhältnis zwischen Digital Markets Act (DMA) und Art 102 AEUV

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Learning in the Quantum Regime

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Reliability of Edge Offloadings

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QUDAPI: Efficient Data Pipeline in Quantum-enhanced Cloud Computing

Object detection AI models can be overconfident in their knowledge. Adding uncertainty estimation makes them more trustworthy. However, the increased computational cost provides a challenge for resource-constrained real-time edge applications.

Increasing Trustworthiness of Edge AI by Adding Uncertainty Estimation to Object Detection

Im Rahmen dieser Dissertation soll erforscht werden, wie erfolgreich ein digitales Lernsetting im Vergleich zu einem klassischen Unterrichtssetting in der beruflichen Weiterbildung beurteilt werden kann.

Zum Einsatz digitaler Medien in der Erwachsenenbildung

Combining SHACL and Ontologies

Automated Diagnosis of Heisenbugs

Algorithmen, AI und widerständige Praktiken

Building Knowledge Graphs for Under Resourced Languages

Building Knowledge Graphs for Under Resourced Languages

My thesis aims to develop DynaSplit, a framework that optimizes energy efficiency and latency in AI inference by jointly optimizing neural network split points and hardware parameters to meet performance and QoS requirements in edge-cloud setups.

Neural network splitting for energy-efficient Edge-AI

Automated Verification of Game-Theoretic Security Properties for Decentralized Protocols

AI has many positive effects and can bring many benefits both to the lives of individuals and to society as a whole. Nevertheless, the use of AI can affect fundamental and human rights, among other things by causing gender discrimination.

Impact of Artificial Intelligence on Women’s Human Rights

DEMon

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Die Arbeit behandelt das Scheduling/Placement Problem von Containern in Cloud bzw. Edge Systemen.

Container scheduling using ML-based workload characterization for heterogeneous computer clusters

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An austrocentric thesis focused on cross-sectional matter of user tracking within the fields of computer science, law and economics.

Legal issues of user tracking technologies

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Achieving an intelligent, trustworthy IoT security solution based on Fog-Computing paradigm and context-awareness to reduce the human effort required for security policies configuration and make IoT environment adaptable to its current state.

Trustworthy Context-Aware Access Control in IoT Environments based on the Fog Computing Paradigm

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Die Arbeit dreht sich um spezifische Aspekte von Serverless Edge-Computing. Mit state-of-the-art Simulationen werden neue Techniken entwickelt um durch eine Verbesserung des internen Load Balancings Antwortzeiten zu reduzieren.

Improving Serverless Edge Computing for Network Bound Workloads

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Bereits seit den starken Kurszuwächsen des Jahres 2017 sind virtuelle Währungen – allen voran der Bitcoin – im Fokus der Aufmerksamkeit.

Kryptowerte in der Insolvenz

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Optimizing Hybrid Workflows for Cloud-Based Quantum Computation

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Advancing Education with AI: Developing and Evaluating a Personalized Learning Environment

Bild aus einem eduLAB Workshop, man sieht Kinder die Ligretto Karten sortieren.
Schon einmal einen Algorithmus entwickelt und angewendet? Wahrscheinlich ja – und das vielleicht ohne es zu merken! Diese Arbeit erforscht, wie intuitive algorithmische Problemlösestrategien gezielt gefördert werden können.

Algorithmic Problem Solving in Unplugged Computer Science Outreach Activities

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Communication and Energy Efficient Edge Artificial Intelligence Framework for Internet of Things

Ziel meiner Dissertation ist es, Internet Standards sichtbar zu machen, indem ich messe, wie sie von Betreibern implementiert werden und ob dies auf einer sicheren Art und Weise geschieht.

Measuring the Gap between Standardization, Implementation and Adoption of Internet Standards

Mai AL-Zu'bi
Real-Time Detection of Side-Channel Attacks Using Machine Learning and Micro-Architectural Traces

Attack Detection using Micro-architectural Traces and Machine Learning