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[HTML][HTML] Dual adversarial attacks: Fooling humans and classifiers
J Schneider, G Apruzzese - Journal of Information Security and Applications, 2023 - Elsevier
Adversarial samples mostly aim at fooling machine learning (ML) models. They often involve
minor pixel-based perturbations that are imperceptible to human observers. In this work …
minor pixel-based perturbations that are imperceptible to human observers. In this work …
Computing Efficient Data Summaries
S Mair - 2022 - pubdata.leuphana.de
Extracting meaningful representations of data is a fundamental problem in machine
learning. Those representations can be viewed from two different perspectives. First, there is …
learning. Those representations can be viewed from two different perspectives. First, there is …
Berechnung effizienter Datenzusammenfassungen
S Mair - D22, 2022 - dl.gi.de
Zusammenfassung Das Extrahieren sinnvoller Repräsentationen von Daten ist ein
grundlegendes Problem im maschinellen Lernen und kann aus zwei unterschiedlichen …
grundlegendes Problem im maschinellen Lernen und kann aus zwei unterschiedlichen …