An ADMM based framework for automl pipeline configuration S Liu, P Ram, D Vijaykeerthy, D Bouneffouf, G Bramble, H Samulowitz, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4892-4899, 2020 | 82 | 2020 |
Verifying individual fairness in machine learning models PG John, D Vijaykeerthy, D Saha Conference on Uncertainty in Artificial Intelligence, 749-758, 2020 | 62 | 2020 |
Efficient synthesis of probabilistic programs AV Nori, S Ozair, SK Rajamani, D Vijaykeerthy ACM SIGPLAN Notices 50 (6), 208-217, 2015 | 59 | 2015 |
Explaining deep learning models using causal inference T Narendra, A Sankaran, D Vijaykeerthy, S Mani arXiv preprint arXiv:1811.04376, 2018 | 58 | 2018 |
Debugging Machine Learning Tasks A Chakarov, AV Nori, SK Rajamani, S Sen, D Vijaykeerthy http://arxiv.org/abs/1603.07292, 2016 | 58 | 2016 |
A framework for learning ante-hoc explainable models via concepts A Sarkar, D Vijaykeerthy, A Sarkar, VN Balasubramanian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 44 | 2022 |
An introduction to adversarial machine learning A Kumar, S Mehta, D Vijaykeerthy International Conference on Big Data Analytics, 293-299, 2017 | 13 | 2017 |
Exploring the hyperparameter landscape of adversarial robustness E Duesterwald, A Murthi, G Venkataraman, M Sinn, D Vijaykeerthy arXiv preprint arXiv:1905.03837, 2019 | 10 | 2019 |
Hardening deep neural networks via adversarial model cascades D Vijaykeerthy, A Suri, S Mehta, P Kumaraguru 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
Testing bias checkers K Dey, D Saha, D Vijaykeerthy, PK Lohia US Patent 11,556,747, 2023 | 6 | 2023 |
Explaining deep learning models using causal inference. arXiv 2018 T Narendra, A Sankaran, D Vijaykeerthy, S Mani arXiv preprint arXiv:1811.04376, 0 | 6 | |
Resiliency of machine learning models M Kesarwani, S Samanta, D Vijaykeerthy, S Mehta, K Sankaranarayanan US Patent 10,733,287, 2020 | 5 | 2020 |
User explanation guided machine learning D Vijaykeerthy, PG John, D Saha US Patent 11,636,331, 2023 | 4 | 2023 |
Adversarial treatment to machine learning model adversary M Kesarwani, D Vijaykeerthy, S Mehta, S Samanta, K Sankaranarayanan US Patent App. 16/255,620, 2020 | 3 | 2020 |
System for operationalizing high-level machine learning training enhancements from low-level primitives E Duesterwald, A Murthi, D Vijaykeerthy, V Arya, G Venkataraman US Patent 11,500,671, 2022 | 2 | 2022 |
Inducing semantic grouping of latent concepts for explanations: An ante-hoc approach A Sarkar, D Vijaykeerthy, A Sarkar, VN Balasubramanian arXiv preprint arXiv:2108.11761, 2021 | 2 | 2021 |
Automatically modifying responses from generative models using artificial intelligence techniques N Madaan, N Panwar, D Vijaykeerthy, PK Lohia, D Saha US Patent 11,741,296, 2023 | 1 | 2023 |
Detecting contextual bias in text N Panwar, N Madaan, D Vijaykeerthy, PK Lohia, D Saha US Patent App. 17/233,727, 2022 | 1 | 2022 |
Priority-based, accuracy-controlled individual fairness of unstructured text PK Lohia, D Vijaykeerthy, D Saha, N Madaan, N Panwar US Patent App. 17/161,125, 2022 | 1 | 2022 |
Automated Testing of AI Models S Haldar, D Vijaykeerthy, D Saha arXiv preprint arXiv:2110.03320, 2021 | 1 | 2021 |