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01/12/2023
Evaluating the Fork-Awareness of Coverage-Guided Fuzzers
Fuzz testing (or fuzzing) is an effective technique used to find securit...
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01/06/2023
Fuzzers for stateful systems: Survey and Research Directions
Fuzzing is a security testing methodology effective in finding bugs. In ...
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02/09/2022
Security of EV-Charging Protocols
The field of electric vehicle charging involves a complex combination of...
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05/26/2021
Deep Repulsive Prototypes for Adversarial Robustness
While many defences against adversarial examples have been proposed, fin...
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08/12/2020
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
Sensitivity to adversarial noise hinders deployment of machine learning ...
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08/07/2020
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty
The adoption of machine learning (ML) components in software systems rai...
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08/07/2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
Deep neural networks are at the forefront of machine learning research. ...
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10/02/2018
