24 citations · 70 across the 7 of their papers we have counts for
7 papers
Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings
Nicola Bena, Claudia Diamantini, Michela Natilli +10
The proceedings of Workshop Scientific HPC in the pre-Exascale era (SHPC), held in Pisa, Italy, September 18, 2024, are part of 3rd Italian Conference on Big Data and Data Science…
Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024)
Nicola Bena, Claudia Diamantini, Michela Natilli +6
Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024), held in Pisa, Italy, September 17-19, 2024. The Italian Conference on Big Data and Data Scienc…
Continuous Management of Machine Learning-Based Application Behavior
Marco Anisetti, Claudio A. Ardagna, Nicola Bena +2
Modern applications are increasingly driven by Machine Learning (ML) models whose non-deterministic behavior is affecting the entire application life cycle from design to operation…
Rethinking Certification for Trustworthy Machine Learning-Based Applications
Marco Anisetti, Claudio A. Ardagna, Nicola Bena +1
Machine Learning (ML) is increasingly used to implement advanced applications with non-deterministic behavior, which operate on the cloud-edge continuum. The pervasive adoption of…
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi +5
The major aim of this paper is to explain the data poisoning attacks using label-flipping during the training stage of the electroencephalogram (EEG) signal-based human emotion eva…
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…
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…