Abhishek Singh
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Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
Detailed comparison of communication efficiency of split learning and federated learning
A Singh, P Vepakomma, O Gupta, R Raskar
Arxiv, 2019
Privacy in deep learning: A survey
F Mireshghallah, M Taram, P Vepakomma, A Singh, R Raskar, ...
arXiv preprint arXiv:2004.12254, 2020
Apps gone rogue: Maintaining personal privacy in an epidemic
R Raskar, I Schunemann, R Barbar, K Vilcans, J Gray, P Vepakomma, ...
arXiv preprint arXiv:2003.08567, 2020
Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
S Romero-Brufau, A Chopra, AJ Ryu, E Gel, R Raskar, W Kremers, ...
bmj 373, 2021
NoPeek: Information leakage reduction to share activations in distributed deep learning
P Vepakomma, A Singh, O Gupta, R Raskar
2020 International Conference on Data Mining Workshops (ICDMW), 933-942, 2020
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
K Huang, A Singh, S Chen, ET Moseley, C Deng, N George, C Lindvall
arXiv preprint arXiv:1912.11975, 2019
SplitNN-driven Vertical Partitioning
I Ceballos, V Sharma, E Mugica, A Singh, A Roman, P Vepakomma, ...
arXiv preprint arXiv:2008.04137, 2020
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature Machine Intelligence 5 (7), 799-810, 2023
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
A Singh, A Chopra, E Garza, E Zhang, P Vepakomma, V Sharma, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
MIGAN: Malware Image Synthesis Using GANs
A Singh, D Dutta, S Amit
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence 33, 2019
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ...
arXiv preprint arXiv:2110.01406, 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning
A Chopra, SK Sahu, A Singh, A Java, P Vepakomma, V Sharma, ...
arXiv preprint arXiv:2112.01637, 2021
Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing
S Shankar, R Kanaparti, A Chopra, R Sukumaran, P Patwa, M Kang, ...
arXiv preprint arXiv:2009.04991, 2020
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic
M Dmitrienko, A Singh, P Erichsen, R Raskar
arXiv preprint arXiv:2009.12699, 2020
Adding Location and Global context to the Google/Apple Exposure Notification Bluetooth API
R Raskar, A Singh, S Zimmerman, S Kanaparti
arXiv preprint arXiv:2007.02317, 2020
NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training
P Vepakomma, A Singh, E Zhang, O Gupta, R Raskar
2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021
Neural architecture construction using envelopenets
P Kamath, A Singh, D Dutta
arXiv preprint arXiv:1803.06744 1, 2018
Decouple-and-sample: Protecting sensitive information in task agnostic data release
A Singh, E Garza, A Chopra, P Vepakomma, V Sharma, R Raskar
European Conference on Computer Vision, 499-517, 2022
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies
R Iyer, R Rex, KP McPherson, D Gandhi, A Mahindra, A Singh, R Raskar
arXiv preprint arXiv:2101.02556, 2021
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