Multimapper: Data Density Sensitive Topological Visualization. - Bishal Deb; Ankita Sarkar; Nupur Kumari; Akash Rupela; Piyush Gupta; Balaji Krishnamurthy (ICDM Workshops, 2018)

Understanding Adversarial Space Through the Lens of Attribution. - Mayank Singh 007; Nupur Kumari; Abhishek Sinha; Balaji Krishnamurthy (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

ReDecode Framework for Iterative Improvement in Paraphrase Generation. - Milan Aggarwal; Nupur Kumari; Ayush Bansal; Balaji Krishnamurthy (CoRR, 2018)

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. - Nupur Kumari; Mayank Singh 007; Abhishek Sinha; Harshitha Machiraju; Balaji Krishnamurthy; Vineeth N. Balasubramanian (IJCAI, 2019)

On the Benefits of Attributional Robustness. - Mayank Singh 007; Nupur Kumari; Puneet Mangla; Abhishek Sinha; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2019)

A Method for Computing Class-wise Universal Adversarial Perturbations. - Tejus Gupta; Abhishek Sinha; Nupur Kumari; Mayank Singh 007; Balaji Krishnamurthy (CoRR, 2019)

Attributional Robustness Training Using Input-Gradient Spatial Alignment. - Mayank Singh 007; Nupur Kumari; Puneet Mangla; Abhishek Sinha; Vineeth N. Balasubramanian; Balaji Krishnamurthy (ECCV (27), 2020)

Charting the Right Manifold: Manifold Mixup for Few-shot Learning. - Puneet Mangla; Mayank Singh 007; Abhishek Sinha; Nupur Kumari; Vineeth N. Balasubramanian; Balaji Krishnamurthy (WACV, 2020)

ShapeVis: High-dimensional Data Visualization at Scale. - Nupur Kumari; Siddarth R.; Akash Rupela; Piyush Gupta; Balaji Krishnamurthy (WWW, 2020)

On the Benefits of Models with Perceptually-Aligned Gradients. - Gunjan Aggarwal; Abhishek Sinha; Nupur Kumari; Mayank Singh 007 (CoRR, 2020)

Data Instance Prior for Transfer Learning in GANs. - Puneet Mangla; Nupur Kumari; Mayank Singh 007; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2020)

LT-GAN: Self-Supervised GAN with Latent Transformation Detection. - Parth Patel; Nupur Kumari; Mayank Singh 007; Balaji Krishnamurthy (WACV, 2021)

Ensembling Off-the-shelf Models for GAN Training. - Nupur Kumari; Richard Zhang 001; Eli Shechtman; Jun-Yan Zhu (CVPR, 2022)

Data InStance Prior (DISP) in Generative Adversarial Networks. - Puneet Mangla; Nupur Kumari; Mayank Singh 007; Balaji Krishnamurthy; Vineeth N. Balasubramanian (WACV, 2022)

Content-Based Search for Deep Generative Models. - Daohan Lu; Sheng-Yu Wang; Nupur Kumari; Rohan Agarwal; David Bau; Jun-Yan Zhu (CoRR, 2022)

Multi-Concept Customization of Text-to-Image Diffusion. - Nupur Kumari; Bingliang Zhang; Richard Zhang 001; Eli Shechtman; Jun-Yan Zhu (CVPR, 2023)

Ablating Concepts in Text-to-Image Diffusion Models. - Nupur Kumari; Bingliang Zhang; Sheng-Yu Wang; Eli Shechtman; Richard Zhang 001; Jun-Yan Zhu (ICCV, 2023)

Content-based Search for Deep Generative Models. - Daohan Lu; Sheng-Yu Wang; Nupur Kumari; Rohan Agarwal; Mia Tang; David Bau; Jun-Yan Zhu (SIGGRAPH Asia, 2023)

Customizing Text-to-Image Models with a Single Image Pair. - Maxwell Jones; Sheng-Yu Wang; Nupur Kumari; David Bau; Jun-Yan Zhu (SIGGRAPH Asia, 2024)

Customizing Text-to-Image Diffusion with Object Viewpoint Control. - Nupur Kumari; Grace Su; Richard Zhang 001; Taesung Park; Eli Shechtman; Jun-Yan Zhu (SIGGRAPH Asia, 2024)

Customizing Text-to-Image Diffusion with Camera Viewpoint Control. - Nupur Kumari; Grace Su; Richard Zhang 001; Taesung Park; Eli Shechtman; Jun-Yan Zhu (CoRR, 2024)

Generative Photomontage. - Sean J. Liu; Nupur Kumari; Ariel Shamir; Jun-Yan Zhu (CVPR, 2025)

Generating Multi-Image Synthetic Data for Text-to-Image Customization. - Nupur Kumari; Xi Yin 001; Jun-Yan Zhu; Ishan Misra; Samaneh Azadi (CoRR, 2025)