Supriyo Chakraborty
Supriyo Chakraborty
Research Staff Member, IBM T. J. Watson Research Center
Verified email at - Homepage
Cited by
Cited by
Analyzing federated learning through an adversarial lens
AN Bhagoji, S Chakraborty, P Mittal, S Calo
International Conference on Machine Learning, 634-643, 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
Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples.
C Liu, S Chakraborty, P Mittal
NDSS 16, 21-24, 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
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
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
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
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
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
Stakeholders in explainable AI
A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty
arXiv preprint arXiv:1810.00184, 2018
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
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
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
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
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
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
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
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
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
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
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