Chakraborty, Supriyo

Analyzing Federated Learning through an Adversarial Lens

Bhagoji, A. N., Chakraborty, S., Mittal, P., & Calo, S. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 703

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI

Tomsett, R., Preece, A., Braines, D., Cerutti, F., Chakraborty, S., Srivastava, M., Pearson, G., & Kaplan, L. (2020) · Patterns

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 186

SenseGen: A deep learning architecture for synthetic sensor data generation

Alzantot, M., Chakraborty, S., & Srivastava, M. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Privacy-Preserving Technologies in DataGenerative Adversarial Networks and Image Synthesis

Cited by 153

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Ludwig, H., Baracaldo, N., Thomas, G., Zhou, Y., Anwar, A., Rajamoni, S., Ong, Y., Radhakrishnan, J., Verma, A., Sinn, M., et al. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 106

Blockchain analytics and artificial intelligence

Dillenberger, D. N., Novotny, P., Zhang, Q., Jayachandran, P., Gupta, H., Hans, S., Verma, D., Chakraborty, S., Thomas, J. J., Walli, M. M., et al. (2019) · IBM Journal of Research and Development

Blockchain Technology Applications and SecurityBig Data and Business Intelligence

Cited by 82

Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition

Xing, T., Sandha, S. S., Balaji, B., Chakraborty, S., & Srivastava, M. (2018) · Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking

Domain Adaptation and Few-Shot LearningContext-Aware Activity Recognition Systems

Cited by 35

Model poisoning attacks against distributed machine learning systems

Tomsett, R., Chan, K. S., & Chakraborty, S. (2019) · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 27

Sanity Checks for Saliency Metrics

Tomsett, R., Harborne, D., Chakraborty, S., Gurram, P., & Preece, A. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Visual Attention and Saliency Detection

Cited by 3