Bhavya Kailkhura
Bhavya Kailkhura
Research Staff, Lawrence Livermore National Laboratory
Email verificata su syr.edu - Home page
Titolo
Citata da
Citata da
Anno
Data falsification attacks on consensus-based detection systems
B Kailkhura, S Brahma, PK Varshney
IEEE Transactions on Signal and Information Processing over Networks 3 (1 …, 2016
68*2016
Distributed Bayesian detection in the presence of Byzantine data
B Kailkhura, YS Han, S Brahma, PK Varshney
IEEE transactions on signal processing 63 (19), 5250-5263, 2015
652015
Zeroth-order stochastic variance reduction for nonconvex optimization
S Liu, B Kailkhura, PY Chen, P Ting, S Chang, L Amini
arXiv preprint arXiv:1805.10367, 2018
572018
Optimal distributed detection in the presence of byzantines
B Kailkhura, S Brahma, YS Han, PK Varshney
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
472013
Distributed inference in the presence of eavesdroppers: A survey
B Kailkhura, VSS Nadendla, PK Varshney
IEEE Communications Magazine 53 (6), 40-46, 2015
372015
Distributed detection in tree topologies with Byzantines
B Kailkhura, S Brahma, YS Han, PK Varshney
IEEE transactions on signal processing 62 (12), 3208-3219, 2014
362014
Collaborative compressive detection with physical layer secrecy constraints
B Kailkhura, T Wimalajeewa, PK Varshney
IEEE Transactions on Signal Processing 65 (4), 1013-1025, 2016
332016
Performance modeling under resource constraints using deep transfer learning
A Marathe, R Anirudh, N Jain, A Bhatele, J Thiagarajan, B Kailkhura, ...
Proceedings of the International Conference for High Performance Computing …, 2017
322017
Generative counterfactual introspection for explainable deep learning
S Liu, B Kailkhura, D Loveland, Y Han
arXiv preprint arXiv:1907.03077, 2019
262019
Distributed detection in tree networks: Byzantines and mitigation techniques
B Kailkhura, S Brahma, B Dulek, YS Han, PK Varshney
IEEE Transactions on Information Forensics and Security 10 (7), 1499-1512, 2015
262015
Reliable and explainable machine-learning methods for accelerated material discovery
B Kailkhura, B Gallagher, S Kim, A Hiszpanski, TYJ Han
npj Computational Materials 5 (1), 1-9, 2019
252019
Asymptotic analysis of distributed Bayesian detection with Byzantine data
B Kailkhura, YS Han, S Brahma, PK Varshney
IEEE Signal Processing Letters 22 (5), 608-612, 2014
252014
Mimicgan: Robust projection onto image manifolds with corruption mimicking
R Anirudh, JJ Thiagarajan, B Kailkhura, PT Bremer
International Journal of Computer Vision, 1-19, 2020
24*2020
On the design of black-box adversarial examples by leveraging gradient-free optimization and operator splitting method
P Zhao, S Liu, PY Chen, N Hoang, K Xu, B Kailkhura, X Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision, 121-130, 2019
232019
Treeview: Peeking into deep neural networks via feature-space partitioning
JJ Thiagarajan, B Kailkhura, P Sattigeri, KN Ramamurthy
arXiv preprint arXiv:1611.07429, 2016
202016
Optimal Byzantine attacks on distributed detection in tree-based topologies
B Kailkhura, S Brahma, PK Varshney
2013 International Conference on Computing, Networking and Communications …, 2013
202013
Stair blue noise sampling
B Kailkhura, JJ Thiagarajan, PT Bremer, PK Varshney
ACM Transactions on Graphics (TOG) 35 (6), 1-10, 2016
192016
Anomalous example detection in deep learning: A survey
S Bulusu, B Kailkhura, B Li, PK Varshney, D Song
IEEE Access 8, 132330-132347, 2020
16*2020
Measurement matrix design for compressed detection with secrecy guarantees
B Kailkhura, S Liu, T Wimalajeewa, PK Varshney
IEEE Wireless Communications Letters 5 (4), 420-423, 2016
162016
On covert data falsification attacks on distributed detection systems
B Kailkhura, YS Han, S Brahma, PK Varshney
2013 13th International Symposium on Communications and Information …, 2013
162013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20