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Rana Abou Khamis

3 papers hereh-index 3162 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.HC1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedInvestigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.HC2026

Unanticipated Effects of Generative AI on Expertise Pathways and Performance Perception in System Administration

Rana Abou Khamis, Hala Assal, Ashraf Matrawy

While industry discourse often emphasizes immediate productivity gains and frames GenAI primarily as a tool for automation, the integration of GenAI into system administration may…

cs.LG2020

Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs

Rana Abou Khamis, Ashraf Matrawy

Network security applications, including intrusion detection systems of deep neural networks, are increasing rapidly to make detection task of anomaly activities more accurate and…

cs.LG2019★ 1 cited

Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization

Rana Abou Khamis, Omair Shafiq, Ashraf Matrawy

With the growth of adversarial attacks against machine learning models, several concerns have emerged about potential vulnerabilities in designing deep neural network-based intrusi…

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