| Adversarial patch attacks and defences in vision-based tasks: A survey A Sharma, Y Bian, P Munz, A Narayan arXiv preprint arXiv:2206.08304, 2022 | 21 | 2022 |
| Vulnerability of cnns against multi-patch attacks A Sharma, Y Bian, V Nanda, P Munz, A Narayan Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Cyber …, 2023 | 2 | 2023 |
| Soft Adversarial Training Can Retain Natural Accuracy A Sharma, A Narayan In Proceedings of the 14th International Conference on Agents and Artificial …, 2022 | 2 | 2022 |
| Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) D Kumar, A Sharma, A Narayan Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23550 …, 2024 | | 2024 |
| Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction A Sharma, P Munz, A Narayan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| NSA: Naturalistic Support Artifact to Boost Network Confidence A Sharma, P Munz, A Narayan 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
| Embedded Model Predictive Control Using Robust Penalty Method A Sharma, C Jugade, S Yawalkar, V Patne, D Ingole, D Sonawane arXiv preprint arXiv:2201.02697, 2022 | | 2022 |
Apurva NarayanWestern University, University of British Columbia and University of WaterlooVerified email at uwo.ca
