24 citations · 73 across the 6 of their papers we have counts for
6 papers
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…
Machine-Readable Privacy Certificates for Services
Marco Anisetti, Claudio A. Ardagna, Michele Bezzi +2
Privacy-aware processing of personal data on the web of services requires managing a number of issues arising both from the technical and the legal domain. Several approaches have…