Analyzing federated learning through an adversarial lens AN Bhagoji, S Chakraborty, P Mittal, S Calo International Conference on Machine Learning, 634-643, 2019 | 435 | 2019 |
Interpretability of deep learning models: A survey of results S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ... 2017 IEEE smartworld, ubiquitous intelligence & computing, advanced …, 2017 | 269 | 2017 |
Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. C Liu, S Chakraborty, P Mittal NDSS 16, 21-24, 2016 | 188 | 2016 |
Neighborhood based fast graph search in large networks A Khan, N Li, X Yan, Z Guan, S Chakraborty, S Tao Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 170 | 2011 |
Genattack: Practical black-box attacks with gradient-free optimization M Alzantot, Y Sharma, S Chakraborty, H Zhang, CJ Hsieh, MB Srivastava Proceedings of the Genetic and Evolutionary Computation Conference, 1111-1119, 2019 | 150 | 2019 |
Interpretable to whom? A role-based model for analyzing interpretable machine learning systems R Tomsett, D Braines, D Harborne, A Preece, S Chakraborty arXiv preprint arXiv:1806.07552, 2018 | 115 | 2018 |
Sensegen: A deep learning architecture for synthetic sensor data generation M Alzantot, S Chakraborty, M Srivastava 2017 IEEE International Conference on Pervasive Computing and Communications …, 2017 | 105 | 2017 |
Stakeholders in explainable AI A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty arXiv preprint arXiv:1810.00184, 2018 | 103 | 2018 |
{ipShield}: A Framework For Enforcing {Context-Aware} Privacy S Chakraborty, C Shen, KR Raghavan, Y Shoukry, M Millar, M Srivastava 11th USENIX symposium on networked systems design and implementation (NSDI …, 2014 | 98 | 2014 |
Compressive oversampling for robust data transmission in sensor networks Z Charbiwala, S Chakraborty, S Zahedi, T He, C Bisdikian, Y Kim, ... 2010 Proceedings IEEE INFOCOM, 1-9, 2010 | 73 | 2010 |
A framework for context-aware privacy of sensor data on mobile systems S Chakraborty, KR Raghavan, MP Johnson, MB Srivastava Proceedings of the 14th Workshop on Mobile Computing Systems and …, 2013 | 68 | 2013 |
Sensorsafe: a framework for privacy-preserving management of personal sensory information H Choi, S Chakraborty, ZM Charbiwala, MB Srivastava Workshop on Secure Data Management, 85-100, 2011 | 58 | 2011 |
Blockchain analytics and artificial intelligence DN Dillenberger, P Novotny, Q Zhang, P Jayachandran, H Gupta, S Hans, ... IBM Journal of Research and Development 63 (2/3), 5: 1-5: 14, 2019 | 49 | 2019 |
Fair transfer learning with missing protected attributes A Coston, KN Ramamurthy, D Wei, KR Varshney, S Speakman, ... Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 91-98, 2019 | 48 | 2019 |
Generative policy model for autonomic management D Verma, S Calo, S Chakraborty, E Bertino, C Williams, J Tucker, B Rivera 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 45 | 2017 |
Rapid trust calibration through interpretable and uncertainty-aware AI R Tomsett, A Preece, D Braines, F Cerutti, S Chakraborty, M Srivastava, ... Patterns 1 (4), 100049, 2020 | 41 | 2020 |
Sanity checks for saliency metrics R Tomsett, D Harborne, S Chakraborty, P Gurram, A Preece Proceedings of the AAAI conference on artificial intelligence 34 (04), 6021-6029, 2020 | 40 | 2020 |
PrOLoc: Resilient localization with private observers using partial homomorphic encryption A Alanwar, Y Shoukry, S Chakraborty, P Martin, P Tabuada, M Srivastava 2017 16th ACM/IEEE International Conference on Information Processing in …, 2017 | 38 | 2017 |
Ibm federated learning: an enterprise framework white paper v0. 1 H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ... arXiv preprint arXiv:2007.10987, 2020 | 37 | 2020 |
Balancing behavioral privacy and information utility in sensory data flows S Chakraborty, Z Charbiwala, H Choi, KR Raghavan, MB Srivastava Pervasive and Mobile Computing 8 (3), 331-345, 2012 | 36 | 2012 |