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)

Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space. - Abhishek Sinha; Mayank Singh 007; Balaji Krishnamurthy (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space. - Mayank Singh 007; Abhishek Sinha; 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)

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)

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