Feature selection for detection of peer-to-peer botnet traffic. - Pratik Narang; Jagan Mohan Reddy; Chittaranjan Hota (COMPUTE, 2013)

Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural Network. - Sharath Chandra Guntuku; Pratik Narang; Chittaranjan Hota (CoRR, 2013)

HaDeS: A Hadoop-based Framework for Detection of Peer-to-Peer Botnets. - Pratik Narang; Abhishek Thakur; Chittaranjan Hota (COMAD, 2014)

Machine-learning approaches for P2P botnet detection using signal-processing techniques. - Pratik Narang; Vansh Khurana; Chittaranjan Hota (DEBS, 2014)

PeerShark: Detecting Peer-to-Peer Botnets by Tracking Conversations. - Pratik Narang; Subhajit Ray; Chittaranjan Hota; Venkat Venkatakrishnan (IEEE Symposium on Security and Privacy Workshops, 2014)

PeerShark: flow-clustering and conversation-generation for malicious peer-to-peer traffic identification. - Pratik Narang; Chittaranjan Hota; V. N. Venkatakrishnan (EURASIP J. Inf. Secur., 2014)

Game-theoretic strategies for IDS deployment in peer-to-peer networks. - Pratik Narang; Chittaranjan Hota (Inf. Syst. Frontiers, 2015)

Anomaly detection in diurnal CPS monitoring data using a local density approach. - Pratik Narang; Biplab Sikdar 001 (ICNP, 2016)

Downlink power control for latency aware grid energy savings in green cellular networks. - Vinay Chamola; Pratik Narang; Biplab Sikdar 001 (Sarnoff Symposium, 2016)

Noise-resistant mechanisms for the detection of stealthy peer-to-peer botnets. - Pratik Narang; Chittaranjan Hota; Husrev Taha Sencar (Comput. Commun., 2016)

Modeling and simulation of temperature drift for ISFET-based pH sensor and its compensation through machine learning techniques. - Rishabh Bhardwaj; Soumendu Sinha; Nishad Sahu; Sagnik Majumder; Pratik Narang; Ravindra Mukhiya (Int. J. Circuit Theory Appl., 2019)

DeblurRL: Image Deblurring with Deep Reinforcement Learning. - Jai Singhal; Pratik Narang (CVIP (2), 2020)

NTIRE 2020 Challenge on NonHomogeneous Dehazing. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Jing Liu 031; Haiyan Wu; Yuan Xie 006; Yanyun Qu; Lizhuang Ma; Ziling Huang; Qili Deng; Ju-Chin Chao; et al. (CVPR Workshops, 2020)

HIDeGan: A Hyperspectral-guided Image Dehazing GAN. - Aditya Mehta; Harsh Sinha; Pratik Narang; Murari Mandal (CVPR Workshops, 2020)

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

AIM 2020 Challenge on Image Extreme Inpainting. - Evangelos Ntavelis; Andrés Romero; Siavash Bigdeli; Radu Timofte; Zheng Hui; Xiumei Wang; Xinbo Gao 001; Chajin Shin; Taeoh Kim; Hanbin Son; Sangyoun Lee; Chao Li 034; et al. (ECCV Workshops (3), 2020)

FNDNet - A deep convolutional neural network for fake news detection. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang; Soumendu Sinha (Cogn. Syst. Res., 2020)

Drone-surveillance for search and rescue in natural disaster. - Balmukund Mishra; Deepak Garg 002; Pratik Narang; Vipul Mishra (Comput. Commun., 2020)

Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation. - Gaurang Bansal; Vinay Chamola; Pratik Narang; Subham Kumar; Sundaresan Raman (IET Image Process., 2020)

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract). - Prateek Garg; Murari Mandal; Pratik Narang (AAAI, 2021)

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract). - Harsh Sinha; Aditya Mehta; Murari Mandal; Pratik Narang (AAAI, 2021)

MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (COMAD/CODS, 2021)

A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (ICAART (2), 2021)

Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing. - Aditya Mehta; Harsh Sinha; Murari Mandal; Pratik Narang (WACV, 2021)

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement. - Prateek Garg; Murari Mandal; Pratik Narang (CoRR, 2021)

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping. - Harsh Sinha; Aditya Mehta; Murari Mandal; Pratik Narang (CoRR, 2021)

TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing. - Aryan Mehra; Pratik Narang; Murari Mandal (J. Vis. Commun. Image Represent., 2021)

FakeBERT: Fake news detection in social media with a BERT-based deep learning approach. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (Multim. Tools Appl., 2021)

DerainGAN: Single image deraining using wasserstein GAN. - Sahil Yadav; Aryan Mehra; Honnesh Rohmetra; Rahul Ratnakumar; Pratik Narang (Multim. Tools Appl., 2021)

EchoFakeD: improving fake news detection in social media with an efficient deep neural network. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (Neural Comput. Appl., 2021)

A hybrid approach for search and rescue using 3DCNN and PSO. - Balmukund Mishra; Deepak Garg 002; Pratik Narang; Vipul Mishra (Neural Comput. Appl., 2021)

AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions. - Ayush Jain; Rohit Ramaprasad; Pratik Narang; Murari Mandal; Vinay Chamola; F. Richard Yu; Mohsen Guizani (IEEE Netw., 2021)

ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions. - Aryan Mehra; Murari Mandal; Pratik Narang; Vinay Chamola (IEEE Trans. Intell. Transp. Syst., 2021)

DeepFakE: improving fake news detection using tensor decomposition-based deep neural network. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang (J. Supercomput., 2021)

ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities. - Prateek Garg; Anirudh Srinivasan Chakravarthy; Murari Mandal; Pratik Narang; Vinay Chamola; Mohsen Guizani (ACM Trans. Internet Techn., 2021)

TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data. - Vikram S. Chundawat; Ayush K. Tarun; Murari Mandal; Mukund Lahoti; Pratik Narang (CoRR, 2022)

Deep Learning Enhanced UAV Imagery for Critical Infrastructure Protection. - Dwij Mehta; Aditya Mehta; Pratik Narang; Vinay Chamola; Sherali Zeadally (IEEE Internet Things Mag., 2022)

Low-Light Image Enhancement for UAVs With Multi-Feature Fusion Deep Neural Networks. - Anirudh Singh; Amit Chougule; Pratik Narang; Vinay Chamola; F. Richard Yu (IEEE Geosci. Remote. Sens. Lett., 2022)

AENeT: an attention-enabled neural architecture for fake news detection using contextual features. - Vidit Jain; Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang; Yashvardhan Sharma (Neural Comput. Appl., 2022)

Correction to "ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions". - Aryan Mehra; Murari Mandal; Pratik Narang; Vinay Chamola (IEEE Trans. Intell. Transp. Syst., 2022)

DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications. - Anirudh Srinivasan Chakravarthy; Soumendu Sinha; Pratik Narang; Murari Mandal; Vinay Chamola; F. Richard Yu (IEEE Trans. Veh. Technol., 2022)

LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract). - Esha Pahwa; Achleshwar Luthra; Pratik Narang (AAAI, 2023)

Drone Surveillance in Extreme Low Visibility Conditions. - Prachi Agrawal; Anant Verma; Pratik Narang (ICAART (3), 2023)

InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset. - Syed Sameen Ahmad Rizvi; Preyansh Agrawal; Jagat Sesh Challa; Pratik Narang (ICAART (3), 2023)

Attention-enabled Deep Neural Network for Enhancing UAV-Captured Pavement Imagery in Poor Visibility. - Chaitanya Kapoor; Aadith Warrier; Mohit Singh; Pratik Narang; Harish Puppala; Srinivas Rallapalli; Ajit Pratap Singh (MIPR, 2023)

Fast and Lightweight UAV-based Road Image Enhancement Under Multiple Low-Visibility Conditions. - Chaitanya Kapoor; Aadith Warrier; Mohit Singh; Pratik Narang; Harish Puppala; Srinivas Rallapalli; Ajit Pratap Singh (PerCom Workshops, 2023)

LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility. - Esha Pahwa; Achleshwar Luthra; Pratik Narang (CoRR, 2023)

AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges. - Honnesh Rohmetra; Navaneeth Raghunath; Pratik Narang; Vinay Chamola; Mohsen Guizani; Naga Rajiv Lakkaniga (Computing, 2023)

FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract). - Syed Sameen Ahmad Rizvi; Aryan Seth; Pratik Narang (AAAI, 2024)

LDFaceNet: Latent Diffusion-Based Network for High-Fidelity Deepfake Generation. - Dwij Mehta; Aditya Mehta; Pratik Narang (ICPR (25), 2024)

Balancing the Scales: Enhancing Fairness in Facial Emotion Recognition with Latent Alignment. - Syed Sameen Ahmad Rizvi; Aryan Seth; Pratik Narang (ICPR (15), 2024)

Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment. - Syed Sameen Ahmad Rizvi; Aryan Seth; Pratik Narang (CoRR, 2024)

A Universal Metric for Robust Evaluation of Synthetic Tabular Data. - Vikram S. Chundawat; Ayush K. Tarun; Murari Mandal; Mukund Lahoti; Pratik Narang (IEEE Trans. Artif. Intell., 2024)

AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing. - Amit Chougule; Agneya Bhardwaj; Vinay Chamola; Pratik Narang (Cogn. Comput., 2024)

Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network. - Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang; Vinay Chamola (IEEE Trans. Comput. Soc. Syst., 2024)

VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles. - Devika S; Rishi Rakesh Shrivastava; Pratik Narang; Tejasvi Alladi; F. Richard Yu (IEEE Trans. Veh. Technol., 2024)

AffectSRNet : Facial Emotion-Aware Super-Resolution Network. - Syed Sameen Ahmad Rizvi; Soham Kumar; Aryan Seth; Pratik Narang (CoRR, 2025)

Classification and study of music genres with multimodal Spectro-Lyrical Embeddings for Music (SLEM). - Ashman Mehra; Aryan Mehra; Pratik Narang (Multim. Tools Appl., 2025)