24 citations · 70 across the 7 of their papers we have counts for
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cs.CR2022★ 5 cited
New data poison attacks on machine learning classifiers for mobile exfiltration
Miguel A. Ramirez, Sangyoung Yoon, Ernesto Damiani +7
Most recent studies have shown several vulnerabilities to attacks with the potential to jeopardize the integrity of the model, opening in a few recent years a new window of opportu…
cs.LG2022★ 24 cited
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach
Marco Anisetti, Claudio A. Ardagna, Alessandro Balestrucci +3
Machine learning is becoming ubiquitous. From finance to medicine, machine learning models are boosting decision-making processes and even outperforming humans in some tasks. This…