An investigation of a deep learning based malware detection system. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (ARES, 2018)

Malware Detection Using Machine Learning and Deep Learning. - Hemant Rathore; Swati Agarwal 001; Sanjay K. Sahay; Mohit Sewak (BDA, 2018)

Android Malicious Application Classification Using Clustering. - Hemant Rathore; Sanjay K. Sahay; Palash Chaturvedi; Mohit Sewak (ISDA (2), 2018)

Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (SNPD, 2018)

Deep Reinforcement Learning - Frontiers of Artificial Intelligence - Mohit Sewak (Springer, 2019)

Identification of Significant Permissions for Efficient Android Malware Detection. - Hemant Rathore; Sanjay K. Sahay; Ritvik Rajvanshi; Mohit Sewak (BROADNETS, 2020)

Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering. - Hemant Rathore; Sanjay K. Sahay; Shivin Thukral; Mohit Sewak (BROADNETS, 2020)

DOOM: a novel adversarial-DRL-based op-code level metamorphic malware obfuscator for the enhancement of IDS. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (UbiComp/ISWC Adjunct, 2020)

DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (PIMRC, 2020)

How robust are malware detection models for Android smartphones against adversarial attacks?: poster abstract. - Hemant Rathore; Sanjay K. Sahay; Mohit Sewak (SenSys, 2020)

Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (TENCON, 2020)

Designing Adversarial Attack and Defence for Robust Android Malware Detection Models. - Hemant Rathore; Sanjay K. Sahay; Jasleen Dhillon; Mohit Sewak (DSN (Supplements), 2021)

Identification of Adversarial Android Intents using Reinforcement Learning. - Hemant Rathore; Piyush Nikam; Sanjay K. Sahay; Mohit Sewak (IJCNN, 2021)

LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (IJCNN, 2021)

ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (IJCNN, 2021)

Are Android Malware Detection Models Adversarially Robust?: Poster Abstract. - Hemant Rathore; Sanjay K. Sahay; Mohit Sewak (IPSN, 2021)

Image-based Android Malware Detection Models using Static and Dynamic Features. - Hemant Rathore; B. Raja Narasimhan; Sanjay K. Sahay; Mohit Sewak (ISDA, 2021)

DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security Systems. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (LCN, 2021)

Are CNN based Malware Detection Models Robust?: Developing Superior Models using Adversarial Attack and Defense. - Hemant Rathore; Taeeb Bandwala; Sanjay K. Sahay; Mohit Sewak (SenSys, 2021)

Adversarial Robustness of Image Based Android Malware Detection Models. - Hemant Rathore; Taeeb Bandwala; Sanjay K. Sahay; Mohit Sewak (SKM, 2021)

Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (SKM, 2021)

DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (CoRR, 2021)

DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (CoRR, 2021)

ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (CoRR, 2021)

Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses. - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (Digit. Investig., 2021)

Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning. - Hemant Rathore; Sanjay K. Sahay; Piyush Nikam; Mohit Sewak (Inf. Syst. Frontiers, 2021)

Malware Analysis and Detection. - Hemant Rathore; Mohit Sewak (AIMLSystems, 2022)

Android Malware Detection Based on Static Analysis and Data Mining Techniques: A Systematic Literature Review. - Hemant Rathore; Soham Chari; Nishant Verma; Sanjay K. Sahay; Mohit Sewak (BROADNETS, 2022)

MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection. - Hemant Rathore; Ajay Kharat; Rashmi T; Adithya Manickavasakam; Sanjay K. Sahay; Mohit Sewak (BROADNETS, 2022)

Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm Attack. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (BROADNETS, 2022)

Are Malware Detection Models Adversarial Robust Against Evasion Attack? - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (INFOCOM Workshops, 2022)

X-Swarm: Adversarial DRL for Metamorphic Malware Swarm Generation. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (PerCom Workshops, 2022)

Neural AutoForensics: Comparing Neural Sample Search and Neural Architecture Search for malware detection and forensics. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (Digit. Investig., 2022)

GreenForensics: Deep hybrid edge-cloud detection and forensics system for battery-performance-balance conscious devices. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (Digit. Investig., 2022)

Defending malware detection models against evasion based adversarial attacks. - Hemant Rathore; Animesh Sasan; Sanjay K. Sahay; Mohit Sewak (Pattern Recognit. Lett., 2022)

Are Malware Detection Classifiers Adversarially Vulnerable to Actor-Critic based Evasion Attacks? - Hemant Rathore; Sujay C. Sharma; Sanjay K. Sahay; Mohit Sewak (EAI Endorsed Trans. Scalable Inf. Syst., 2022)

CRUSH: Cybersecurity Research using Universal LLMs and Semantic Hypernetworks. - Mohit Sewak; Vamsi Emani; Annam Naresh (EKG-LLM@CIKM, 2023)

Making Large Language Models Better Data Creators. - Dong-Ho Lee; Jay Pujara; Mohit Sewak; Ryen White; Sujay Kumar Jauhar (EMNLP, 2023)

RL-MAGE: Strengthening Malware Detectors Against Smart Adversaries. - Adarsh Nandanwar; Hemant Rathore; Sanjay K. Sahay; Mohit Sewak (ICCS (2), 2023)

Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defenses. - Hemant Rathore; Adarsh Nandanwar; Sanjay K. Sahay; Mohit Sewak (Forensic Sci. Int. Digit. Investig., 2023)

Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses. - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (Inf. Syst. Frontiers, 2023)

Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (Inf. Syst. Frontiers, 2023)