@inproceedings{kumar2022introducing,title={Introducing Diversity in Feature Scatter Adversarial Training via Synthesis},author={Kumar, Satyadwyoom and Narayan, Apurva},booktitle={26th International Conference on Pattern Recognition (ICPR)},pages={3069--3075},year={2022},organization={IEEE},}
Towards Robust Certified Defense via Improved Randomized Smoothing
Satyadwyoom Kumar, and Apurva Narayan
In International Joint Conference on Neural Networks (IJCNN), 2022
@article{huaulme2023peg,title={Peg Transfer Workflow recognition challenge report: Do multimodal data improve recognition?},author={Huaulm{\'e}, Arnaud and Harada, Kanako and Nguyen, Quang-Minh and Park, Bogyu and Hong, Seungbum and Choi, Min-Kook and Peven, Michael and Li, Yunshuang and Long, Yonghao and Dou, Qi and Kumar, Satyadwyoom and Ren, Hongliang and others},journal={Computer Methods and Programs in Biomedicine},volume={236},pages={107561},year={2023},publisher={Elsevier},}
BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization
Satyadwyoom Kumar, Saurabh Gupta, and Arun Balaji Buduru
@article{kumar2024bbpatch,title={BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization},author={Kumar, Satyadwyoom and Gupta, Saurabh and Buduru, Arun Balaji},journal={arXiv},pages={},year={2024},organization={arXiv},}
GAN Inversion and Shifting: Recommending Product Modifications to Sellers for Better User Preference
Satyadwyoom Kumar, Abhijit Sharma, and Apurva Narayan
@article{kumar2025gan,title={GAN Inversion and Shifting: Recommending Product Modifications to Sellers for Better User Preference},author={Kumar, Satyadwyoom and Sharma, Abhijit and Narayan, Apurva},journal={PeerJ Computer Science},volume={11},pages={e2553},year={2025},publisher={PeerJ Inc.},}