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Mohit Sewak — most-cited papers & profile · Large Language Models
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overview
Mohit Sewak
9
papers ·
62
citations ·
19
h-index
Microsoft Research (India) · Birla Institute of Technology and Science, Pilani - Goa Campus · Microsoft (India) · Microsoft Research (United Kingdom)
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Most-cited papers
An investigation of a deep learning based malware detection system
2018 · 47 citations
DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture
2020 · 15 citations
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection
2018
DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS
2020
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS
2020
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
2021
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach
2021
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator
2021
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
2022
Topics
Malware Detection
Anomaly Detection
Network Security
Threat Intelligence
Adversarial ML
LLM Security