46 citations · 102 across the 11 of their papers we have counts for
4 papers · 1 filter
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
Daniel G. Krakowczyk, Paul Prasse, David R. Reich +3
Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain the output of deep neural sequence models for the task of oculomotr…
Learning Explainable Representations of Malware Behavior
Paul Prasse, Jan Brabec, Jan Kohout +3
We address the problems of identifying malware in network telemetry logs and providing \emph{indicators of compromise} -- comprehensible explanations of behavioral patterns that id…
Joint Detection of Malicious Domains and Infected Clients
Paul Prasse, Rene Knaebel, Lukas Machlica +2
Detection of malware-infected computers and detection of malicious web domains based on their encrypted HTTPS traffic are challenging problems, because only addresses, timestamps,…
Learning to Identify Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr +1
This paper addresses the problem of inferring a regular expression from a given set of strings that resembles, as closely as possible, the regular expression that a human expert wo…