1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2024★ 1 cited
Counteracting Concept Drift by Learning with Future Malware Predictions
Branislav Bosansky, Lada Hospodkova, Michal Najman +3
The accuracy of deployed malware-detection classifiers degrades over time due to changes in data distributions and increasing discrepancies between training and testing data. This…
cs.LG2020
Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection
Olga Petrova, Karel Durkota, Galina Alperovich +4
Anomaly detection is a method for discovering unusual and suspicious behavior. In many real-world scenarios, the examined events can be directly linked to the actions of an adversa…