AdvGAN++: Harnessing Latent Layers for Adversary Generation. - Surgan Jandial; Puneet Mangla; Sakshi Varshney; Vineeth Balasubramanian (ICCV Workshops, 2019)

On the Benefits of Attributional Robustness. - Mayank Singh 007; Nupur Kumari; Puneet Mangla; Abhishek Sinha; Vineeth N. Balasubramanian; 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)

On Saliency Maps and Adversarial Robustness. - Puneet Mangla; Vedant Singh; Vineeth N. Balasubramanian (ECML/PKDD (2), 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)

VarMixup: Exploiting the Latent Space for Robust Training and Inference. - Puneet Mangla; Vedant Singh; Shreyas Jayant Havaldar; Vineeth N. Balasubramanian (CoRR, 2020)

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

Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. - Puneet Mangla; Shivam Chandhok; Vineeth N. Balasubramanian; Fahad Shahbaz Khan (CoRR, 2021)

On the benefits of defining vicinal distributions in latent space. - Puneet Mangla; Vedant Singh; Shreyas Jayant Havaldar; Vineeth Balasubramanian (Pattern Recognit. Lett., 2021)

COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. - Puneet Mangla; Shivam Chandhok; Vineeth N. Balasubramanian; Fahad Shahbaz Khan (WACV, 2022)

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

INDIGO: Intrinsic Multimodality for Domain Generalization. - Puneet Mangla; Shivam Chandhok; Milan Aggarwal; Vineeth N. Balasubramanian; Balaji Krishnamurthy (CoRR, 2022)