Soft Adversarial Training Can Retain Natural Accuracy. - Abhijith Sharma; Apurva Narayan (ICAART (3), 2022)

Embedded Model Predictive Control Using Robust Penalty Method. - Abhijith Sharma; Chaitanya Jugade; Shreya Yawalkar; Vaishali Patne; Deepak Ingole; Dayaram N. Sonawane (CoRR, 2022)

Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey. - Abhijith Sharma; Yijun Bian; Phil Munz; Apurva Narayan (CoRR, 2022)

Vulnerability of CNNs against Multi-Patch Attacks. - Abhijith Sharma; Yijun Bian; Vatsal Nanda; Phil Munz; Apurva Narayan (SAT-CPS@CODASPY, 2023)

NSA: Naturalistic Support Artifact to Boost Network Confidence. - Abhijith Sharma; Phil Munz; Apurva Narayan (IJCNN, 2023)

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract). - Daya Kumar; Abhijith Sharma; Apurva Narayan (AAAI, 2024)

Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. - Abhijith Sharma; Phil Munz; Apurva Narayan (WACV, 2024)

On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis. - Junyi Guan; Abhijith Sharma; Chong Tian; Salem Lahlou (UAI, 2025)

GAN inversion and shifting: recommending product modifications to sellers for better user preference. - Satyadwyoom Kumar; Abhijith Sharma; Apurva Narayan (PeerJ Comput. Sci., 2025)

Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets. - Idriss Malek; Abhijith Sharma; Salem Lahlou (CoRR, 2025)