An Emotion-Based Multi-Task Approach to Fake News Detection (Student Abstract). - Arjun Choudhry; Inder Khatri; Minni Jain (AAAI, 2022)

Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. - Arjun Choudhry; Inder Khatri; Arkajyoti Chakraborty; Dinesh Kumar Vishwakarma; Mukesh Prasad (ICON, 2022)

Data-free Defense of Black Box Models Against Adversarial Attacks. - Gaurav Kumar Nayak; Inder Khatri; Shubham Randive; Ruchit Rawal; Anirban Chakraborty 001 (CoRR, 2022)

A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes. - Aaryan Gupta; Inder Khatri; Arjun Choudhry; Pranav Chandhok; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy. - Inder Khatri; Arjun Choudhry; Aryaman Rao; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning. - Arjun Choudhry; Inder Khatri; Minni Jain; Dinesh Kumar Vishwakarma (CoRR, 2022)

An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning. - Arkajyoti Chakraborty; Inder Khatri; Arjun Choudhry; Pankaj Gupta 004; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization. - Inder Khatri; Aaryan Gupta; Arjun Choudhry; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. - Arjun Choudhry; Pankaj Gupta 004; Inder Khatri; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (CoRR, 2022)

Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation. - Dhirendra Kumar; Inder Khatri; Aaryan Gupta; Rachana Gusain (Soft Comput., 2022)

CSR: A community based spreaders ranking algorithm for influence maximization in social networks. - Sanjay Kumar 001; Aaryan Gupta; Inder Khatri (World Wide Web, 2022)

An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). - Arkajyoti Chakraborty; Inder Khatri; Arjun Choudhry; Pankaj Gupta 004; Dinesh Kumar Vishwakarma; Mukesh Prasad (AAAI, 2023)

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). - Arjun Choudhry; Pankaj Gupta 004; Inder Khatri; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (AAAI, 2023)

CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). - Inder Khatri; Aaryan Gupta; Arjun Choudhry; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (AAAI, 2023)

Adversarial Adaptation for French Named Entity Recognition. - Arjun Choudhry; Inder Khatri; Pankaj Gupta 004; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (ECIR (2), 2023)

A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation. - Inder Khatri; Dhirendra Kumar; Aaryan Gupta (Appl. Intell., 2023)

MCD: A modified community diversity approach for detecting influential nodes in social networks. - Aaryan Gupta; Inder Khatri; Arjun Choudhry; Sanjay Kumar 001 (J. Intell. Inf. Syst., 2023)

Influence Maximization in social networks using discretized Harris' Hawks Optimization algorithm. - Inder Khatri; Arjun Choudhry; Aryaman Rao; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (Appl. Soft Comput., 2023)

Data-free Defense of Black Box Models Against Adversarial Attacks. - Gaurav Kumar Nayak; Inder Khatri; Ruchit Rawal; Anirban Chakraborty 001 (CVPR Workshops, 2024)

An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning. - Arjun Choudhry; Inder Khatri; Minni Jain; Dinesh Kumar Vishwakarma (IEEE Trans. Comput. Soc. Syst., 2024)

DAD++: Improved data-free test time adversarial defense. - Gaurav Kumar Nayak; Inder Khatri; Shubham Randive; Ruchit Rawal; Anirban Chakraborty 001 (Neurocomputing, 2025)

Robust Few-Shot Learning Without Using Any Adversarial Samples. - Gaurav Kumar Nayak; Ruchit Rawal; Inder Khatri; Anirban Chakraborty 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)