Authorship Clustering using TF-IDF weighted Word-Embeddings. - Lucky Agarwal; Kartik Thakral; Gaurav Bhatt; Ankush Mittal (FIRE, 2019)

AECNet: Attentive EfficientNet For Crowd Counting. - Muskan Dosi; Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (FG, 2021)

DeSI: Deepfake Source Identifier for Social Media. - Kartik Narayan; Harsh Agarwal; Surbhi Mittal; Kartik Thakral; Suman Kundu; Mayank Vatsa; Richa Singh 001 (CVPR Workshops, 2022)

DeePhy: On Deepfake Phylogeny. - Kartik Narayan; Harsh Agarwal; Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (IJCB, 2022)

Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images. - Aakarsh Malhotra; Surbhi Mittal; Puspita Majumdar; Saheb Chhabra; Kartik Thakral; Mayank Vatsa; Richa Singh 001; Santanu Chaudhury; Ashwin Pudrod; Anjali Agrawal (Pattern Recognit., 2022)

DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. - Kartik Narayan; Harsh Agarwal; Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (CVPR, 2023)

Are Face Detection Models Biased? - Surbhi Mittal; Kartik Thakral; Puspita Majumdar; Mayank Vatsa; Richa Singh 001 (FG, 2023)

PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning. - Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (FG, 2023)

Self-Supervised Continual Learning. - Kartik Thakral; Surbhi Mittal; Utkarsh Uppal; Bharat Giddwani; Mayank Vatsa; Richa Singh 001 (Tiny Papers @ ICLR, 2023)

On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms. - Surbhi Mittal; Kartik Thakral; Richa Singh 001; Mayank Vatsa; Tamar Glaser; Cristian Canton-Ferrer; Tal Hassner (CoRR, 2023)

ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing. - Kartik Thakral; Shashikant Prasad; Stuti Aswani; Mayank Vatsa; Richa Singh 001 (CVPR, 2024)

HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions. - Chiranjeev Chiranjeev; Muskan Dosi; Kartik Thakral; Mayank Vatsa; Richa Singh 001 (ECCV (88), 2024)

On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare. - Surbhi Mittal; Kartik Thakral; Richa Singh 001; Mayank Vatsa; Tamar Glaser; Cristian Canton-Ferrer; Tal Hassner (Nat. Mac. Intell., 2024)

Low-Quality Deepfake Detection via Unseen Artifacts. - Saheb Chhabra; Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (IEEE Trans. Artif. Intell., 2024)

Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models. - Kartik Thakral; Tamar Glaser; Tal Hassner; Mayank Vatsa; Richa Singh 001 (CVPR, 2025)

ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset. - Kartik Thakral; Rishabh Ranjan; Akanksha Singh; Akshat Jain; Mayank Vatsa; Richa Singh 001 (ICLR, 2025)

DIVINE: Diverse-Inconspicuous Feature Learning to Mitigate Abridge Learning. - Saheb Chhabra; Kartik Thakral; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (Trans. Mach. Learn. Res., 2025)

DeePhyNet: Toward Detecting Phylogeny in Deepfakes. - Kartik Thakral; Harsh Agarwal; Kartik Narayan; Surbhi Mittal; Mayank Vatsa; Richa Singh 001 (IEEE Trans. Biom. Behav. Identity Sci., 2025)

Continual Unlearning for Foundational Text-to-Image Models without Generalization Erosion. - Kartik Thakral; Tamar Glaser; Tal Hassner; Mayank Vatsa; Richa Singh 001 (CoRR, 2025)

LitMAS: A Lightweight and Generalized Multi-Modal Anti-Spoofing Framework for Biometric Security. - Nidheesh Gorthi; Kartik Thakral; Rishabh Ranjan; Richa Singh 001; Mayank Vatsa (CoRR, 2025)

Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres. - Muskan Dosi; Chiranjeev Chiranjeev; Kartik Thakral; Mayank Vatsa; Richa Singh 001 (CoRR, 2025)