Benjamin A. Miller

Orcid: 0000-0002-1649-1401

Affiliations:
  • MIT Lincoln Laboratory, Lexington, MA, USA


According to our database1, Benjamin A. Miller authored at least 53 papers between 2005 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Complex network effects on the robustness of graph convolutional networks.
Appl. Netw. Sci., December, 2024

Attacking Shortest Paths by Cutting Edges.
ACM Trans. Knowl. Discov. Data, February, 2024

TenGAN: adversarially generating multiplex tensor graphs.
Data Min. Knowl. Discov., January, 2024

From low resource information extraction to identifying influential nodes in knowledge graphs.
CoRR, 2024

2023
GRASP: Accelerating Shortest Path Attacks via Graph Attention.
CoRR, 2023

Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks.
CoRR, 2023

Using Overlapping Methods to Counter Adversaries in Community Detection.
CoRR, 2023

Defense Against Shortest Path Attacks.
CoRR, 2023

Automated Patient-Robot Task Assignment in a Simulated Stochastic Rehabilitation Gym.
Proceedings of the International Conference on Rehabilitation Robotics, 2023

2022
Learning Dynamic Patient-Robot Task Assignment and Scheduling for A Robotic Rehabilitation Gym.
Proceedings of the International Conference on Rehabilitation Robotics, 2022

Graphulo: Linear Algebra Graph Kernels.
Proceedings of the Massive Graph Analytics, 2022

2021
Optimal Edge Weight Perturbations to Attack Shortest Paths.
CoRR, 2021

PATHATTACK: Attacking Shortest Paths in Complex Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Toward Real-Time Detection of Object Lifting Using Wearable Inertial Measurement Units.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Design and Pilot Evaluation of a Prototype Sensorized Trunk Exoskeleton.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection.
Proceedings of the IEEE Conference on Communications and Network Security, 2021

2020
Topological Effects on Attacks Against Vertex Classification.
CoRR, 2020

2018
Classifier Performance Estimation with Unbalanced, Partially Labeled Data.
Proceedings of the International Workshop on Cost-Sensitive Learning, 2018

2016
Model Selection Framework for Graph-based data.
CoRR, 2016

Intersection and convex combination in multi-source spectral planted cluster detection.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
A Spectral Framework for Anomalous Subgraph Detection.
IEEE Trans. Signal Process., 2015

Graphulo: Linear Algebra Graph Kernels for NoSQL Databases.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Planted clique detection below the noise floor using low-rank sparse PCA.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Improving the performance of graph analysis through partitioning with sampling.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Sampling large graphs for anticipatory analytics.
Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015

Temporal and multi-source fusion for detection of innovation in collaboration networks.
Proceedings of the 18th International Conference on Information Fusion, 2015

Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Residuals-based subgraph detection with cue vertices.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Sampling operations on big data.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Spectral Anomaly Detection in Very Large Graphs: Models, Noise, and Computational Complexity.
CoRR, 2014

Spectral subgraph detection with corrupt observations.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparse matrix partitioning for parallel eigenanalysis of large static and dynamic graphs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

2013
Efficient anomaly detection in dynamic, attributed graphs: Emerging phenomena and big data.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Sparse volterra systems: Theory and practice.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A Stochastic System for Large Network Growth.
IEEE Signal Process. Lett., 2012

Toward matched filter optimization for subgraph detection in dynamic networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Low Power Sparse Polynomial Equalizer (SPEQ) for Nonlinear Digital Compensation of an Active Anti-Alias Filter.
Proceedings of the 2012 IEEE Workshop on Signal Processing Systems, 2012

Goodness-of-fit statistics for anomaly detection in Chung-Lu random graphs.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A scalable signal processing architecture for massive graph analysis.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Moments of parameter estimates for Chung-Lu random graph models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Benchmarking parallel eigen decomposition for residuals analysis of very large graphs.
Proceedings of the IEEE Conference on High Performance Extreme Computing, 2012

Characterization of traffic and structure in the U.S. airport network.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Sparse polynomial equalization of an RF receiver via algorithm, analog, and digital codesign.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Identification and compensation of Wiener-Hammerstein systems with feedback.
Proceedings of the IEEE International Conference on Acoustics, 2011

Eigenspace analysis for threat detection in social networks.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Subgraph Detection Using Eigenvector L1 Norms.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Toward signal processing theory for graphs and non-Euclidean data.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
A Log-Frequency Approach to the Identification of the Wiener-Hammerstein Model.
IEEE Signal Process. Lett., 2009

Polyphase Nonlinear Equalization of Time-Interleaved Analog-to-Digital Converters.
IEEE J. Sel. Top. Signal Process., 2009

2008
A Polyphase nonlinear equalization architecture and semi-blind identification method.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2005
Impulse noise protection for multicarrier communication systems.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Multicarrier bit-loading in presence of biased Gaussian noise sources.
Proceedings of the 2nd IEEE Consumer Communications and Networking Conference, 2005

A GUI Framework for GPS-Enabled Robotic Guidance.
Proceedings of the Intelligent Control, 2005


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