Robust Pose Recognition Using Deep Learning. - Aparna Mohanty; Alfaz Ahmed; Trishita Goswami; Arpita Das; Pratik Vaishnavi; Rajiv Ranjan Sahay (CVIP (2), 2016)

Nrityabodha: Towards understanding Indian classical dance using a deep learning approach. - Aparna Mohanty; Pratik Vaishnavi; Prerana Jana; Anubhab Majumdar; Alfaz Ahmed; Trishita Goswami; Rajiv Ranjan Sahay (Signal Process. Image Commun., 2016)

Transferable Adversarial Robustness using Adversarially Trained Autoencoders. - Pratik Vaishnavi; Kevin Eykholt; Atul Prakash 001; Amir Rahmati (CoRR, 2019)

Can Attention Masks Improve Adversarial Robustness? - Pratik Vaishnavi; Tianji Cong; Kevin Eykholt; Atul Prakash 001; Amir Rahmati (CoRR, 2019)

Accelerating Certified Robustness Training via Knowledge Transfer. - Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (NeurIPS, 2022)

Ares: A System-Oriented Wargame Framework for Adversarial ML. - Farhan Ahmed; Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (SP (Workshops), 2022)

Transferring Adversarial Robustness Through Robust Representation Matching. - Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (USENIX Security Symposium, 2022)

Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks. - Kevin Eykholt; Farhan Ahmed; Pratik Vaishnavi; Amir Rahmati (CoRR, 2024)

A Study of the Effects of Transfer Learning on Adversarial Robustness. - Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (Trans. Mach. Learn. Res., 2024)