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Ashraf Matrawy

Introducing Perturb-ability Score (PS) to Enhance Robustness Against Evasion Adversarial Attacks on ML-NIDS

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Sep 11, 2024
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Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness

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Mar 15, 2024
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Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning

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Jun 08, 2023
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Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks

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May 30, 2021
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DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning

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Jan 08, 2021
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A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment

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Nov 13, 2020
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Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs

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Jul 08, 2020
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The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

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Nov 06, 2019
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Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization

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Oct 30, 2019
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Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks

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May 13, 2019
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