Bhavya Kailkhura

According to our database1, Bhavya Kailkhura authored at least 61 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications.
IEEE Signal Process. Mag., 2020

MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking.
Int. J. Comput. Vis., 2020

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling.
CoRR, 2020

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning.
CoRR, 2020

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design.
CoRR, 2020

Adversarial Mutual Information for Text Generation.
CoRR, 2020

Actionable Attribution Maps for Scientific Machine Learning.
CoRR, 2020

A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning.
CoRR, 2020

Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning.
CoRR, 2020

Anomalous Instance Detection in Deep Learning: A Survey.
CoRR, 2020

Automatic Perturbation Analysis on General Computational Graphs.
CoRR, 2020

Anomalous Example Detection in Deep Learning: A Survey.
IEEE Access, 2020

Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements.
IEEE Trans. Signal Process., 2019

Joint Sparsity Pattern Recovery With 1-b Compressive Sensing in Distributed Sensor Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.
CoRR, 2019

Deep Probabilistic Kernels for Sample-Efficient Learning.
CoRR, 2019

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis.
CoRR, 2019

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Generative Counterfactual Introspection for Explainable Deep Learning.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms.
J. Mach. Learn. Res., 2018

MR-GAN: Manifold Regularized Generative Adversarial Networks.
CoRR, 2018

MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.
CoRR, 2018

Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses.
CoRR, 2018

Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization.
CoRR, 2018

An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks.
CoRR, 2018

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PADDLE: Performance Analysis Using a Data-Driven Learning Environment.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Human-Machine Inference Networks for Smart Decision Making: Opportunities and Challenges.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Secure Networked Inference with Unreliable Data Sources
Springer, ISBN: 978-981-13-2311-9, 2018

2017
Subspace-Aware Index Codes.
IEEE Wirel. Commun. Lett., 2017

Collaborative Compressive Detection With Physical Layer Secrecy Constraints.
IEEE Trans. Signal Process., 2017

Data Falsification Attacks on Consensus-Based Detection Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines.
CoRR, 2017

Performance modeling under resource constraints using deep transfer learning.
Proceedings of the International Conference for High Performance Computing, 2017

Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Byzantine-Resilient locally optimum detection using collaborative autonomous networks.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Measurement Matrix Design for Compressed Detection With Secrecy Guarantees.
IEEE Wirel. Commun. Lett., 2016

Stair blue noise sampling.
ACM Trans. Graph., 2016

Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach.
IEEE Signal Process. Lett., 2016

TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning.
CoRR, 2016

Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models.
Proceedings of the NIPS 2016 Time Series Workshop, 2016

Robust Local Scaling Using Conditional Quantiles of Graph Similarities.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Theoretical guarantees for poisson disk sampling using pair correlation function.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Decentralized joint sparsity pattern recovery using 1-bit compressive sensing.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Distributed Inference in Tree Networks Using Coding Theory.
IEEE Trans. Signal Process., 2015

Distributed Bayesian Detection in the Presence of Byzantine Data.
IEEE Trans. Signal Process., 2015

Asymptotic Analysis of Distributed Bayesian Detection with Byzantine Data.
IEEE Signal Process. Lett., 2015

Measurement Matrix Design for Compressive Detection with Secrecy Guarantees.
CoRR, 2015

Consensus based Detection in the Presence of Data Falsification Attacks.
CoRR, 2015

Joint Sparsity Pattern Recovery with 1-bit Compressive Sensing in Sensor Networks.
CoRR, 2015

Distributed inference in the presence of eavesdroppers: a survey.
IEEE Commun. Mag., 2015

Joint sparsity pattern recovery with 1-bit compressive sensing in sensor networks.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Distributed Detection in Tree Topologies With Byzantines.
IEEE Trans. Signal Process., 2014

Distributed Detection in Tree Networks: Byzantines and Mitigation Techniques.
CoRR, 2014

Distributed Compressive Detection with Perfect Secrecy.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

On the performance analysis of data fusion schemes with Byzantines.
Proceedings of the IEEE International Conference on Acoustics, 2014

On physical layer secrecy of collaborative compressive detection.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Distributed Bayesian Detection with Byzantine Data.
CoRR, 2013

Optimal Byzantine attacks on distributed detection in tree-based topologies.
Proceedings of the International Conference on Computing, Networking and Communications, 2013

Optimal distributed detection in the presence of Byzantines.
Proceedings of the IEEE International Conference on Acoustics, 2013


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