| Guided adversarial attack for evaluating and enhancing adversarial defenses G Sriramanan, S Addepalli, A Baburaj Advances in Neural Information Processing Systems 33, 20297-20308, 2020 | 54 | 2020 |
| Towards achieving adversarial robustness by enforcing feature consistency across bit planes S Addepalli, V BS, A Baburaj, G Sriramanan, RV Babu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 32 | 2020 |
| Towards efficient and effective adversarial training G Sriramanan, S Addepalli, A Baburaj Advances in Neural Information Processing Systems 34, 11821-11833, 2021 | 28 | 2021 |
| Degan: Data-enriching gan for retrieving representative samples from a trained classifier S Addepalli, GK Nayak, A Chakraborty, VB Radhakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3130-3137, 2020 | 26 | 2020 |
| On chip ZQ calibration resistor trimming S Addepalli, S Yadala US Patent 9,563,213, 2017 | 19 | 2017 |
| Scaling adversarial training to large perturbation bounds S Addepalli, S Jain, G Sriramanan, R Venkatesh Babu Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 17* | 2022 |
| Search for impedance calibration H Miwa, S Addepalli, S Yadala US Patent 9,531,382, 2016 | 17 | 2016 |
| Towards data-free model stealing in a hard label setting S Sanyal, S Addepalli, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
| Boosting adversarial robustness using feature level stochastic smoothing S Addepalli, S Jain, G Sriramanan, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
| Duty cycle and skew correction for output signals generated in source synchronous systems S Addepalli, RA Madpur, S Yadala US Patent 10,367,493, 2019 | 8 | 2019 |
| Efficient Peak Current Management In A Multi-Die Stack S Addepalli, S Yadala US Patent App. 15/099,496, 2017 | 7 | 2017 |
| Efficient and effective augmentation strategy for adversarial training S Addepalli, S Jain Advances in Neural Information Processing Systems 35, 1488-1501, 2022 | 5 | 2022 |
| Towards Efficient and Effective Self-Supervised Learning of Visual Representations S Addepalli, K Bhogale, P Dey, RV Babu Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
| Saliency-driven class impressions for feature visualization of deep neural networks S Addepalli, D Tamboli, RV Babu, B Banerjee 2020 IEEE International Conference on Image Processing (ICIP), 1936-1940, 2020 | 3 | 2020 |
| Duty cycle and skew correction for output signals generated in source synchronous systems S Addepalli, RA Madpur, S Yadala US Patent 10,361,690, 2019 | 2 | 2019 |
| Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks S Addepalli, A Nasery, RV Babu, P Netrapalli, P Jain arXiv preprint arXiv:2210.01360, 2022 | 1 | 2022 |
| DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization A Nasery, S Addepalli, P Netrapalli, P Jain arXiv preprint arXiv:2208.09139, 2022 | 1 | 2022 |
| Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks S Addepalli, A Nasery, VB Radhakrishnan, P Netrapalli, P Jain The Eleventh International Conference on Learning Representations, 2023 | | 2023 |
| LEARNING AN INVERTIBLE OUTPUT MAPPING CAN MITIGATE SIMPLICITY BIAS IN NEURAL NETWORKS A Nasery, P Netrapalli, P Jain, S Addepalli | | 2023 |
| RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases A Basu, S Addepalli, RV Babu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
