Explainable machine learning in deployment U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ... Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 639 | 2020 |
CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models S Sharma, J Henderson, J Ghosh Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 166-172, 2020 | 247* | 2020 |
Data Augmentation for Discrimination Prevention and Bias Disambiguation S Sharma, Y Zhang, JM Ríos Aliaga, D Bouneffouf, V Muthusamy, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 358-364, 2020 | 88 | 2020 |
FaiR-N: Fair and Robust Neural Networks for Structured Data S Sharma, AH Gee, D Paydarfar, J Ghosh Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 946-955, 2021 | 17 | 2021 |
Certifai: a toolkit for building trust in AI systems J Henderson, S Sharma, A Gee, V Alexiev, S Draper, C Marin, Y Hinojosa, ... Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 9 | 2021 |
Framework for explainability with recourse of black-box trained classifiers and assessment of fairness and robustness of black-box trained classifiers J Ghosh, S Sharma, J Henderson, M Sanchez US Patent 11,645,620, 2023 | 7 | 2023 |
Real-time distributed multi-object tracking in a PTZ camera network A Choudhary, S Sharma, I Sreedevi, S Chaudhury Pattern Recognition and Machine Intelligence: 6th International Conference …, 2015 | 4 | 2015 |
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations S Sharma, AH Gee, J Henderson, J Ghosh arXiv preprint arXiv:2210.06578, 2022 | 3 | 2022 |
Privacy-Preserving Algorithmic Recourse S Pentyala, S Sharma, S Kariyappa, F Lecue, D Magazzeni arXiv preprint arXiv:2311.14137, 2023 | 2 | 2023 |
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations E Albini, S Sharma, S Mishra, D Dervovic, D Magazzeni arXiv preprint arXiv:2307.06941, 2023 | 1 | 2023 |
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts S Sharma, J Henderson, J Ghosh arXiv preprint arXiv:2210.04995, 2022 | 1 | 2022 |
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies H Wu, S Sharma, S Patra, S Gopalakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15915 …, 2024 | | 2024 |
The Effect of Data Poisoning on Counterfactual Explanations A Artelt, S Sharma, F Lecué, B Hammer arXiv preprint arXiv:2402.08290, 2024 | | 2024 |
SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies H Wu, S Sharma, S Patra, S Gopalakrishnan arXiv preprint arXiv:2308.12367, 2023 | | 2023 |
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values S Sharma, S Dutta, E Albini, F Lecue, D Magazzeni, M Veloso Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 443-453, 2023 | | 2023 |
Multi-objective approaches towards trustworthy machine learning S Sharma | | 2022 |