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A. Zafar

5 papers hereh-index 18944 citations76 works total

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

author position
  • middle author2
  • last author3

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

fields
  • cs.LG3
  • cs.CR2
same name
  • A. Zafar — 248 papers, h 43
  • A. Zafar — 117 papers, h 20
  • A. Zafar — 3 papers, h 8
  • A. Zafar — 3 papers, h 12
  • A. Zafar — 1 paper, h 3
  • A. Zafar — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedUtilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)

82 citations · 112 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.LG2023

Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System

Khushnaseeb Roshan, Aasim Zafar, Sheikh Burhan Ul Haque

Network Intrusion Detection System (NIDS) is a key component in securing the computer network from various cyber security threats and network attacks. However, consider an unfortun…

cs.CR2023★ 7 cited

A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks

Khushnaseeb Roshan, Aasim Zafar, Shiekh Burhan Ul Haque

Network Intrusion Detection System (NIDS) is an essential tool in securing cyberspace from a variety of security risks and unknown cyberattacks. A number of solutions have been imp…

cs.LG2023

Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model

Khushnaseeb Roshan, Aasim Zafar

Anomaly detection and its explanation is important in many research areas such as intrusion detection, fraud detection, unknown attack detection in network traffic and logs. It is…

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