70 citations · 161 across the 5 of their papers we have counts for
5 papers
Beyond AI Delegation: A Prompt Pattern Framework for Productive Struggle and Evaluative Judgement in Secure Coding Education
Philipp Haindl, Oliver Eigner, Peter Kieseberg
Large language models make it easy for students to delegate writing, analysis, and problem-solving to automated systems, bypassing the effortful engagement that produces lasting un…
Towards Resilient Artificial Intelligence: Survey and Research Issues
Oliver Eigner, Sebastian Eresheim, Peter Kieseberg +6
Artificial intelligence (AI) systems are becoming critical components of today's IT landscapes. Their resilience against attacks and other environmental influences needs to be ensu…
-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner +3
The protection of private information is a crucial issue in data-driven research and business contexts. Typically, techniques like anonymisation or (selective) deletion are introdu…
The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations
Bernd Malle, Nicola Giuliani, Peter Kieseberg +1
AI applications pose increasing demands on performance, so it is not surprising that the era of client-side distributed software is becoming important. On top of many AI applicatio…
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology
Andreas Holzinger, Bernd Malle, Peter Kieseberg +4
Digital pathology is not only one of the most promising fields of diagnostic medicine, but at the same time a hot topic for fundamental research. Digital pathology is not just the…