| Analyzing federated learning through an adversarial lens AN Bhagoji, S Chakraborty, P Mittal, S Calo International Conference on Machine Learning, 634-643, 2019 | 194 | 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 | 163 | 2017 |
| 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 | 161 | 2011 |
| Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. C Liu, S Chakraborty, P Mittal NDSS 16, 21-24, 2016 | 147 | 2016 |
| 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 | 97 | 2019 |
| 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 …, 2014 | 89 | 2014 |
| 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 | 74 | 2018 |
| 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 | 74 | 2010 |
| 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 | 66 | 2017 |
| 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 | 63 | 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 | 52 | 2011 |
| Stakeholders in explainable AI A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty arXiv preprint arXiv:1810.00184, 2018 | 40 | 2018 |
| 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 | 36 | 2017 |
| 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 | 35 | 2012 |
| Demystifying privacy in sensory data: A QoI based approach S Chakraborty, H Choi, MB Srivastava 2011 IEEE International Conference on Pervasive Computing and Communications …, 2011 | 31 | 2011 |
| 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 | 30 | 2017 |
| 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 | 26 | 2019 |
| Exploiting processor heterogeneity for energy efficient context inference on mobile phones C Shen, S Chakraborty, KR Raghavan, H Choi, MB Srivastava Proceedings of the Workshop on Power-Aware Computing and Systems, 1-5, 2013 | 25 | 2013 |
| mSieve: differential behavioral privacy in time series of mobile sensor data N Saleheen, S Chakraborty, N Ali, MM Rahman, SM Hossain, R Bari, ... Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 22 | 2016 |
| Protecting data against unwanted inferences S Chakraborty, N Bitouzé, M Srivastava, L Dolecek 2013 IEEE information theory workshop (ITW), 1-5, 2013 | 22 | 2013 |
