Abhishek Singh
Title
Cited by
Cited by
Year
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
572020
Neural architecture construction using envelopenets
P Kamath, A Singh, D Dutta
arXiv preprint arXiv:1803.06744 1, 2018
102018
Detailed comparison of communication efficiency of split learning and federated learning
A Singh, P Vepakomma, O Gupta, R Raskar
Arxiv, 2019
92019
MIGAN: Malware Image Synthesis Using GANs
A Singh, D Dutta, S Amit
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence 33, 2019
52019
FedML: A Research Library and Benchmark for Federated Machine Learning
C He, S Li, J So, M Zhang, H Wang, X Wang, P Vepakomma, A Singh, ...
arXiv preprint arXiv:2007.13518, 2020
32020
Privacy in Deep Learning: A Survey
F Mirshghallah, M Taram, P Vepakomma, A Singh, R Raskar, ...
arXiv preprint arXiv:2004.12254, 2020
32020
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
32019
Fast Neural Architecture Construction using EnvelopeNets
P Kamath, A Singh, D Dutta
arXiv preprint arXiv:1803.06744, 2018
22018
PPContactTracing: A Privacy-Preserving Contact Tracing Protocol for COVID-19 Pandemic
P Singh, A Singh, G Cojocaru, P Vepakomma, R Raskar
arXiv preprint arXiv:2008.06648, 2020
12020
Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API
R Raskar, A Singh, S Zimmerman, S Kanaparti
arXiv e-prints, arXiv: 2007.02317, 2020
12020
AMLA: an AutoML frAmework for Neural Network Design
P Kamath, A Singh, D Dutta
AutoML workshop at ICML, 2018, 0
1*
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic
M Dmitrienko, A Singh, P Erichsen, R Raskar
arXiv preprint arXiv:2009.12699, 2020
2020
Target Privacy Threat Modeling for COVID-19 Exposure Notification Systems
A Gangavarapu, E Daw, A Singh, R Iyer, G Harp, S Zimmerman, R Raskar
arXiv preprint arXiv:2009.13300, 2020
2020
Proximity Sensing for Contact Tracing
S Shankar, A Chopra, R Kanaparti, M Kang, A Singh, R Raskar
arXiv preprint arXiv:2009.04991, 2020
2020
NoPeek: Information leakage reduction to share activations in distributed deep learning
P Vepakomma, A Singh, O Gupta, R Raskar
arXiv preprint arXiv:2008.09161, 2020
2020
Comparing manual contact tracing and digital contact advice
R Raskar, R Dhillon, S Kapa, D Pahwa, R Falgas, L Sinha, A Prasad, ...
arXiv preprint arXiv:2008.07325, 2020
2020
SplitNN-driven Vertical Partitioning
I Ceballos, V Sharma, E Mugica, A Singh, A Roman, P Vepakomma, ...
arXiv preprint arXiv:2008.04137, 2020
2020
Adding Location and other Context to the Google/Apple Exposure Notification Bluetooth API
R Raskar, A Singh, S Zimmerman, S Kanaparti
arXiv preprint arXiv:2007.02317, 2020
2020
NASIB: Neural Architecture Search withIn Budget
A Singh, A Garg, J Zhou, SR Dubey, D Dutta
arXiv preprint arXiv:1910.08665, 2019
2019
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest
I Ilanchezian, P Vepakomma, A Singh, O Gupta, GN Prasanna, R Raskar
arXiv preprint arXiv:1909.12734, 2019
2019
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