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Mohit Sewak

Microsoft R&D

13 papers hereh-index 163.2k citations40 works total

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

author position
  • first author8
  • last author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CR13
affiliations
  • Microsoft R&D
HomepageORCID 0000-0001-8375-5713
same name
  • Mohit Sewak — 3 papers, h 8

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
20182021
most citedMalware Detection using Machine Learning and Deep Learning

124 citations · 423 across the 12 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.CR2019

Android Malicious Application Classification Using Clustering

Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi +1

Android malware have been growing at an exponential pace and becomes a serious threat to mobile users. It appears that most of the anti-malware still relies on the signature-based…

cs.CR2019★ 124 cited

Malware Detection using Machine Learning and Deep Learning

Hemant Rathore, Swati Agarwal, Sanjay K. Sahay +1

Research shows that over the last decade, malware has been growing exponentially, causing substantial financial losses to various organizations. Different anti-malware companies ha…

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