Harnessing the vulnerability of latent layers in adversarially trained models N Kumari, M Singh, A Sinha, H Machiraju, B Krishnamurthy, ... Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 66* | 2019 |
A little fog for a large turn H Machiraju, VN Balasubramanian Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 13 | 2020 |
Empirical advocacy of bio-inspired models for robust image recognition H Machiraju, OH Choung, MH Herzog, P Frossard arXiv preprint arXiv:2205.09037, 2022 | 8 | 2022 |
An evaluation metric for object detection algorithms in autonomous navigation systems and its application to a real-time alerting system H Machiraju, SS Channappayya 2018 25th IEEE International Conference on Image Processing (ICIP), 81-85, 2018 | 5 | 2018 |
CLAD: A contrastive learning based approach for background debiasing K Wang, H Machiraju, OH Choung, M Herzog, P Frossard arXiv preprint arXiv:2210.02748, 2022 | 2 | 2022 |
Bio-inspired robustness: A review H Machiraju, OH Choung, P Frossard, M Herzog arXiv preprint arXiv:2103.09265, 2021 | 2 | 2021 |
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions H Machiraju, MH Herzog, P Frossard arXiv preprint arXiv:2306.07178, 2023 | | 2023 |
A comment on Guo et al.[arXiv: 2206.11228] B Lonnqvist, H Machiraju, MH Herzog arXiv preprint arXiv:2208.01456, 2022 | | 2022 |
A Novel Electric Network Frequency Classification Algorithm and an Electrical Power Signal Measurement Circuit CP Konkimalla, SR Dyuthi, S Anumandla, H Machiraju, P Bajjuri, ... | | 2016 |
LPSY D Audergon, M Boi, A Bornet, C Cappe, G Ceylan, V Chicherov, ... | | |