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researcher

M. K. Veerabhadran

2 papers hereh-index 227 citations3 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR2

identity via Semantic Scholar / OpenAlex

most citedSoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability

14 citations · 19 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024★ 5 cited

PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis

Dipkamal Bhusal, Md Tanvirul Alam, Monish K. Veerabhadran +3

Deep neural networks for classification are vulnerable to adversarial attacks, where small perturbations to input samples lead to incorrect predictions. This susceptibility, combin…

cs.CR2022★ 14 cited

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability

Dipkamal Bhusal, Rosalyn Shin, Ajay Ashok Shewale +4

Interpretability, trustworthiness, and usability are key considerations in high-stake security applications, especially when utilizing deep learning models. While these models are…

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