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Supriyo Chakraborty
Supriyo Chakraborty
Senior Research Scientist, IBM Research
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
Analyzing federated learning through an adversarial lens
AN Bhagoji, S Chakraborty, P Mittal, S Calo
International Conference on Machine Learning, 634-643, 2019
6892019
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
3522017
Dependence makes you vulnberable: Differential privacy under dependent tuples.
C Liu, S Chakraborty, P Mittal
NDSS 16, 21-24, 2016
2172016
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
2002019
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
1742011
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
1522018
Stakeholders in explainable AI
A Preece, D Harborne, D Braines, R Tomsett, S Chakraborty
arXiv preprint arXiv:1810.00184, 2018
1502018
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
1422017
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
1052014
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
772020
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
762010
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
752019
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
742020
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
732020
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
732019
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
722013
Sensorsafe: a framework for privacy-preserving management of personal sensory information
H Choi, S Chakraborty, ZM Charbiwala, MB Srivastava
Secure Data Management: 8th VLDB Workshop, SDM 2011, Seattle, WA, USA …, 2011
602011
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
472017
PrOLoc: Resilient localization with private observers using partial homomorphic encryption
A Alanwar, Y Shoukry, S Chakraborty, P Martin, P Tabuada, M Srivastava
Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017
472017
Model poisoning attacks in federated learning
AN Bhagoji, S Chakraborty, P Mittal, S Calo
Proc. Workshop Secur. Mach. Learn.(SecML) 32nd Conf. Neural Inf. Process …, 2018
442018
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