4 citations · 9 across the 6 of their papers we have counts for
6 papers
What comes after transformers? -- A selective survey connecting ideas in deep learning
Johannes Schneider
Transformers have become the de-facto standard model in artificial intelligence since 2017 despite numerous shortcomings ranging from energy inefficiency to hallucinations. Researc…
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
Johannes Schneider
Generative AI (GenAI) marked a shift from AI being able to recognize to AI being able to generate solutions for a wide variety of tasks. As the generated solutions and applications…
Improving classifier decision boundaries using nearest neighbors
Johannes Schneider
Neural networks are not learning optimal decision boundaries. We show that decision boundaries are situated in areas of low training data density. They are impacted by few training…
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For Network Intrusion Detection (NID), however, scientific advances in ML are still seen with skep…
Obfuscation using Encryption
Johannes Schneider, Thomas Locher
Protecting source code against reverse engineering and theft is an important problem. The goal is to carry out computations using confidential algorithms on an untrusted party whil…
Oblivious Sorting and Queues
Johannes Schneider
We present a deterministic oblivious LIFO (Stack), FIFO, double-ended and double-ended priority queue as well as an oblivious mergesort and quicksort algorithm. Our techniques and…