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Umme Zahoora

5 papers hereh-index 72.9k citations9 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedA Survey of the Recent Architectures of Deep Convolutional Neural Networks

2.6k citations · 2.6k across the 5 of their papers we have counts for

collaborators
Showing cs.CRShow all

3 papers · 1 filter

cs.CR2026

Multimodal Multi-Agent Ransomware Analysis Using AutoGen

Asifullah Khan, Aimen Wadood, Mubashar Iqbal +1

Ransomware has become one of the most serious cybersecurity threats causing major financial losses and operational disruptions worldwide.Traditional detection methods such as stati…

cs.CR2021★ 2 cited

Malware Classification Using Deep Boosted Learning

Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal +2

Malicious activities in cyberspace have gone further than simply hacking machines and spreading viruses. It has become a challenge for a nations survival and hence has evolved to c…

cs.CR2019★ 17 cited

Ransomware Analysis using Feature Engineering and Deep Neural Networks

Arslan Ashraf, Abdul Aziz, Umme Zahoora +2

Detection and analysis of a potential malware specifically, used for ransom is a challenging task. Recently, intruders are utilizing advanced cryptographic techniques to get hold o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.