Articles with public access mandates - Supriyo ChakrabortyLearn more
Not available anywhere: 5
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
Mandates: US Department of Defense
Model poisoning attacks against distributed machine learning systems
R Tomsett, K Chan, S Chakraborty
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019
Mandates: US Department of Defense
LightSpy: Optical eavesdropping on displays using light sensors on mobile devices
S Chakraborty, W Ouyang, M Srivastava
2017 IEEE International Conference on Big Data (Big Data), 2980-2989, 2017
Mandates: US Department of Defense
Learning light-weight edge-deployable privacy models
Y Lim, M Srivatsa, S Chakraborty, I Taylor
2018 IEEE International Conference on Big Data (Big Data), 1290-1295, 2018
Mandates: US Department of Defense
Augmenting saliency maps with uncertainty
S Chakraborty, P Gurram, F Le, L Kaplan, R Tomsett
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2021
Mandates: US Department of Defense
Available somewhere: 27
Analyzing federated learning through an adversarial lens
AN Bhagoji, S Chakraborty, P Mittal, S Calo
International Conference on Machine Learning, 634-643, 2019
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense, US National …
Dependence makes you vulnberable: Differential privacy under dependent tuples.
C Liu, S Chakraborty, P Mittal
NDSS 16, 21-24, 2016
Mandates: US National Science Foundation
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
Mandates: US Department of Defense
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
Mandates: US Department of Defense
Rapid trust calibration through interpretable and uncertainty-aware AI
R Tomsett, A Preece, D Braines, F Cerutti, S Chakraborty, M Srivastava, ...
Patterns 1 (4), 2020
Mandates: US Department of Defense
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
Mandates: US Department of Defense
Sparsefed: Mitigating model poisoning attacks in federated learning with sparsification
A Panda, S Mahloujifar, AN Bhagoji, S Chakraborty, P Mittal
International Conference on Artificial Intelligence and Statistics, 7587-7624, 2022
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Sat: Improving adversarial training via curriculum-based loss smoothing
C Sitawarin, S Chakraborty, D Wagner
Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021
Mandates: Hewlett Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US National Institutes of Health
Enabling edge devices that learn from each other: Cross modal training for activity recognition
T Xing, SS Sandha, B Balaji, S Chakraborty, M Srivastava
Proceedings of the 1st International Workshop on Edge Systems, Analytics and …, 2018
Mandates: US National Science Foundation, US Department of Defense, US National …
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
Mandates: US National Science Foundation, US National Institutes of Health
Why the failure? how adversarial examples can provide insights for interpretable machine learning
R Tomsett, A Widdicombe, T Xing, S Chakraborty, S Julier, P Gurram, ...
2018 21st international conference on information fusion (FUSION), 838-845, 2018
Mandates: US Department of Defense
Approaches to address the data skew problem in federated learning
DC Verma, G White, S Julier, S Pasteris, S Chakraborty, G Cirincione
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019
Mandates: US Department of Defense
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