Mohit Sewak

发表

Android Malicious Application Classification Using Clustering pdf

Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, 2018, ISDA.

Policy-Based Reinforcement Learning Approaches

Mohit Sewak, Mohit Sewak, 2019, Deep Reinforcement Learning.

Deep Q Network (DQN), Double DQN, and Dueling DQN

Mohit Sewak, Mohit Sewak, 2019, Deep Reinforcement Learning.

Value-Approximation based Deep Reinforcement Learning Techniques: An Overview

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA).

Introduction to Deep Learning

Mohit Sewak, 2019 .

Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2018, 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).

IoT and distributed machine learning powered optimal state recommender solution

Sachchidanand Singh, Mohit Sewak, Sachchidanand Singh, 2016, 2016 International Conference on Internet of Things and Applications (IOTA).

An investigation of a deep learning based malware detection system

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2018, ARES.

DOOM: a novel adversarial-DRL-based op-code level metamorphic malware obfuscator for the enhancement of IDS

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, UbiComp/ISWC Adjunct.

Actor-Critic Models and the A3C

Mohit Sewak, Mohit Sewak, 2019, Deep Reinforcement Learning.

Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, 2020 IEEE REGION 10 CONFERENCE (TENCON).

Q-Learning in Code

Mohit Sewak, 2019 .

Temporal Difference Learning, SARSA, and Q-Learning

Mohit Sewak, 2019 .

Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, Information Systems Frontiers.

Winning in the Era of Serverless Computing and Function as a Service

Mohit Sewak, Sachchidan Singh, S. Singh, 2018, 2018 3rd International Conference for Convergence in Technology (I2CT).

Coding the Environment and MDP Solution

Mohit Sewak, 2019 .

How robust are malware detection models for Android smartphones against adversarial attacks?: poster abstract

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, SenSys.

In pursuit of the best Artificial Neural Network for predicting the most complex data

Sachchidanand Singh, Mohit Sewak, 2015, 2015 International Conference on Communication, Information & Computing Technology (ICCICT).

Mathematical and Algorithmic Understanding of Reinforcement Learning

Mohit Sewak, 2019 .

Implementation Resources

Mohit Sewak, Mohit Sewak, 2019, Deep Reinforcement Learning.

Double DQN in Code

Mohit Sewak, 2019 .

A3C in Code

Mohit Sewak, 2019 .

An Overview of Deep Learning Architecture of Deep Neural Networks and Autoencoders

Hemant Rathore, Mohit Sewak, Sanjay Kumar Sahay, 2020 .

DDPG in Code

Mohit Sewak, 2019 .

Deep Reinforcement Learning

Mohit Sewak, Balaraman Ravindran, Sahil Sharma, 2020, Deep Reinforcement Learning in Unity.

Deterministic Policy Gradient and the DDPG

Mohit Sewak, 2019 .

Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari, 2018 .

Introduction to Reinforcement Learning

Mohit Sewak, 2019 .

Malware Detection Using Machine Learning and Deep Learning pdf

Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, 2018, BDA.

DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications.

LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Identification of Adversarial Android Intents using Reinforcement Learning

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Designing Adversarial Attack and Defence for Robust Android Malware Detection Models

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S).

Are Android Malware Detection Models Adversarially Robust?: Poster Abstract

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, IPSN.

Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses

Mohit Sewak, Sanjay K. Sahay, Adithya Samavedhi, 2021, Digit. Investig..

DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware pdf

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, Defence Science Journal.

DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security Systems

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 IEEE 46th Conference on Local Computer Networks (LCN).

A Reference Architecture and Road map for Enabling E- commerce on Apache Spark

Mohit Sewak, Sachchidanand Singh, 2015 .