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08/23/2023
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers
Machine Learning (ML) algorithms that perform classification may predict...
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01/30/2023
On the Efficacy of Metrics to Describe Adversarial Attacks
Adversarial defenses are naturally evaluated on their ability to tolerat...
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03/04/2022
Safety-aware metrics for object detectors in autonomous driving
We argue that object detectors in the safety critical domain should prio...
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02/28/2022
Prepare for Trouble and Make it Double. Supervised and Unsupervised Stacking for AnomalyBased Intrusion Detection
In the last decades, researchers, practitioners and companies struggled ...
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02/25/2022
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator – Experience Report
Machine Learning applications are acknowledged at the foundation of auto...
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12/21/2020
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape
Anomaly detection aims at identifying unexpected fluctuations in the exp...
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10/29/2020
Governance Autonomy: Towards a Governance-based Analysis of Autonomy in Cyber-Physical Systems-of-Systems
One of the main challenges in integrating Cyber-Physical System-of-Syste...
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08/13/2020