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08/17/2023
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing
Malware detectors based on deep learning (DL) have been shown to be susc...
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06/16/2023
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks
Malware detectors based on machine learning (ML) have been shown to be s...
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12/16/2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge
In this work, we devise robust and efficient learning protocols for orch...
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12/20/2021
Certified Federated Adversarial Training
In federated learning (FL), robust aggregation schemes have been develop...
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12/03/2020
FAT: Federated Adversarial Training
Federated learning (FL) is one of the most important paradigms addressin...
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11/08/2019
Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks
Neural networks are increasingly used in security applications for intru...
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10/09/2019
