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06/02/2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Misclassification detection is an important problem in machine learning,...
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05/22/2023
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search
Logic synthesis is the first and most vital step in chip design. This st...
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02/04/2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
Multi-armed adversarial attacks, in which multiple algorithms and object...
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06/30/2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors
Detection of adversarial examples has been a hot topic in the last years...
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03/30/2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
Federated Learning is expected to provide strong privacy guarantees, as ...
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06/04/2021
DOCTOR: A Simple Method for Detecting Misclassification Errors
Deep neural networks (DNNs) have shown to perform very well on large sca...
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05/09/2020
Estimating g-Leakage via Machine Learning
This paper considers the problem of estimating the information leakage o...
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01/27/2020
Feature selection in machine learning: Rényi min-entropy vs Shannon entropy
Feature selection, in the context of machine learning, is the process of...
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04/01/2019
