Benjamin A. Miller

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 23

Top Topics

Partially Labeled Data

Anomaly Detection

Top Venues

Publications

Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
Complex network effects on the robustness of graph convolutional networks. Appl. Netw. Sci. 9 (1) (2024)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Attacking Shortest Paths by Cutting Edges. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Erica Cai, Olga Simek, Benjamin A. Miller, Danielle Sullivan-Pao, Evan Young, Christopher L. Smith
From low resource information extraction to identifying influential nodes in knowledge graphs. CoRR (2024)
William Shiao, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis
TenGAN: adversarially generating multiplex tensor graphs. Data Min. Knowl. Discov. 38 (1) (2024)
Benjamin A. Miller, Bikranta Adhikari, Chao Jiang, Vesna D. Novak
Automated Patient-Robot Task Assignment in a Simulated Stochastic Rehabilitation Gym. ICORR (2023)
Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
Using Overlapping Methods to Counter Adversaries in Community Detection. CoRR (2023)
Zohair Shafi, Benjamin A. Miller, Tina Eliassi-Rad, Rajmonda Sulo Caceres
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks. CoRR (2023)
Zohair Shafi, Benjamin A. Miller, Ayan Chatterjee, Tina Eliassi-Rad, Rajmonda Sulo Caceres
GRASP: Accelerating Shortest Path Attacks via Graph Attention. CoRR (2023)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Defense Against Shortest Path Attacks. CoRR (2023)
Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad
Complex Network Effects on the Robustness of Graph Convolutional Networks. CoRR (2023)
Bikranta Adhikari, Shivanjali Ranashing, Benjamin A. Miller, Vesna D. Novak, Chao Jiang
Learning Dynamic Patient-Robot Task Assignment and Scheduling for A Robotic Rehabilitation Gym. ICORR (2022)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Attacking Shortest Paths by Cutting Edges. CoRR (2022)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR (2021)
Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CoRR (2021)
Benjamin A. Miller, Domen Novak
Toward Real-Time Detection of Object Lifting Using Wearable Inertial Measurement Units. EMBC (2021)
Talha Ongun, Oliver Spohngellert, Benjamin A. Miller, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Jason Hiser, Alastair Nottingham, Jack W. Davidson, Malathi Veeraraghavan
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection. CNS (2021)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR (2021)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) (2021)
Dalton Hass, Benjamin A. Miller, Boyi Dai, Domen Novak, Maja Gorsic
Design and Pilot Evaluation of a Prototype Sensorized Trunk Exoskeleton. EMBC (2021)
Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad
Topological Effects on Attacks Against Vertex Classification. CoRR (2020)
Benjamin A. Miller, Jeremy Vila, Malina Kirn, Joseph R. Zipkin
Classifier Performance Estimation with Unbalanced, Partially Labeled Data. COST@SDM (2018)
Rajmonda S. Caceres, Leah Weiner, Matthew C. Schmidt, Benjamin A. Miller, William M. Campbell
Model Selection Framework for Graph-based data. CoRR (2016)
Benjamin A. Miller, Rajmonda S. Caceres, Steven Thomas Smith
Intersection and convex combination in multi-source spectral planted cluster detection. GlobalSIP (2016)
Alexis B. Cook, Benjamin A. Miller
Planted clique detection below the noise floor using low-rank sparse PCA. ICASSP (2015)
Benjamin A. Miller, Michelle S. Beard, Patrick J. Wolfe, Nadya T. Bliss
A Spectral Framework for Anomalous Subgraph Detection. IEEE Trans. Signal Process. 63 (16) (2015)
Michael M. Wolf, Benjamin A. Miller
Improving the performance of graph analysis through partitioning with sampling. HPEC (2015)
Benjamin A. Miller, Michelle S. Beard, Manfred D. Laubichler, Nadya T. Bliss
Temporal and multi-source fusion for detection of innovation in collaboration networks. FUSION (2015)
Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. CoRR (2015)
Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases. IPDPS Workshops (2015)
Benjamin A. Miller, Stephen Kelley, Rajmonda S. Caceres, Steven Thomas Smith
Residuals-based subgraph detection with cue vertices. ACSSC (2015)
Vijay Gadepally, Taylor Herr, Luke Johnson, Lauren Milechin, Maja Milosavljevic, Benjamin A. Miller
Sampling operations on big data. ACSSC (2015)
Lauren Edwards, Luke Johnson, Maja Milosavljevic, Vijay Gadepally, Benjamin A. Miller
Sampling large graphs for anticipatory analytics. HPEC (2015)
Himanshu Nayar, Benjamin A. Miller, Kelly Geyer, Rajmonda S. Caceres, Steven Thomas Smith, Raj Rao Nadakuditi
Improved hidden clique detection by optimal linear fusion of multiple adjacency matrices. ACSSC (2015)
Benjamin A. Miller, Nicholas Arcolano, Michael M. Wolf, Nadya T. Bliss
Spectral Anomaly Detection in Very Large Graphs: Models, Noise, and Computational Complexity. CoRR (2014)
Michael M. Wolf, Benjamin A. Miller
Sparse matrix partitioning for parallel eigenanalysis of large static and dynamic graphs. HPEC (2014)
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe, Michelle S. Beard
A Spectral Framework for Anomalous Subgraph Detection. CoRR (2014)
Benjamin A. Miller, Nicholas Arcolano
Spectral subgraph detection with corrupt observations. ICASSP (2014)
Benjamin A. Miller, Nicholas Arcolano, Nadya T. Bliss
Efficient anomaly detection in dynamic, attributed graphs: Emerging phenomena and big data. ISI (2013)
Andrew K. Bolstad, Benjamin A. Miller
Sparse volterra systems: Theory and practice. ICASSP (2013)
Nicholas Arcolano, Karl S. Ni, Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
Moments of parameter estimates for Chung-Lu random graph models. ICASSP (2012)
Karen Gettings, Andrew K. Bolstad, Show-Yah Stuart Chen, Michael N. Ericson, Benjamin A. Miller, Michael Vai
Low Power Sparse Polynomial Equalizer (SPEQ) for Nonlinear Digital Compensation of an Active Anti-Alias Filter. SiPS (2012)
Vineet Mehta, Feanil Patel, Yan Glina, Matthew C. Schmidt, Benjamin A. Miller, Nadya Travinin Bliss
Characterization of traffic and structure in the U.S. airport network. CIDU (2012)
Edward Rutledge, Benjamin A. Miller, Michelle S. Beard
Benchmarking parallel eigen decomposition for residuals analysis of very large graphs. HPEC (2012)
Andrew K. Bolstad, Benjamin A. Miller, Karen Gettings, Mike Ericson, Helen Kim, Merlin Green, Dan Santiago
Sparse polynomial equalization of an RF receiver via algorithm, analog, and digital codesign. ACSCC (2012)
Benjamin A. Miller, Nicholas Arcolano, Michelle S. Beard, Jeremy Kepner, Matthew C. Schmidt, Nadya T. Bliss, Patrick J. Wolfe
A scalable signal processing architecture for massive graph analysis. ICASSP (2012)
Benjamin A. Miller, Nadya T. Bliss
A Stochastic System for Large Network Growth. IEEE Signal Process. Lett. 19 (6) (2012)
Benjamin A. Miller, Nadya T. Bliss
Toward matched filter optimization for subgraph detection in dynamic networks. SSP (2012)
Benjamin A. Miller, Lauren H. Stephens, Nadya T. Bliss
Goodness-of-fit statistics for anomaly detection in Chung-Lu random graphs. ICASSP (2012)
Benjamin A. Miller, Michelle S. Beard, Nadya T. Bliss
Eigenspace analysis for threat detection in social networks. FUSION (2011)
Andrew K. Bolstad, Benjamin A. Miller, Joel Goodman, James E. Vian, Janani Kalyanam
Identification and compensation of Wiener-Hammerstein systems with feedback. ICASSP (2011)
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
Subgraph Detection Using Eigenvector L1 Norms. NIPS (2010)
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
Toward signal processing theory for graphs and non-Euclidean data. ICASSP (2010)
Joel Goodman, Benjamin A. Miller, Matthew Herman, Gil Raz, Jeffrey H. Jackson
Polyphase Nonlinear Equalization of Time-Interleaved Analog-to-Digital Converters. IEEE J. Sel. Top. Signal Process. 3 (3) (2009)
Joel Goodman, Matthew Herman, Bradley N. Bond, Benjamin A. Miller
A Log-Frequency Approach to the Identification of the Wiener-Hammerstein Model. IEEE Signal Process. Lett. 16 (10) (2009)
Benjamin A. Miller, Joel Goodman, Matthew Herman
A Polyphase nonlinear equalization architecture and semi-blind identification method. ACSCC (2008)
Michael Janssen, Benjamin A. Miller, Andrew Drenner, Nikolaos Papanikolopoulos
A GUI Framework for GPS-Enabled Robotic Guidance. ISIC (2005)
Hossein Sedarat, Benjamin A. Miller, Kevin Fisher
Impulse noise protection for multicarrier communication systems. ICASSP (3) (2005)
Hossein Sedarat, Benjamin A. Miller, Kevin Fisher
Multicarrier bit-loading in presence of biased Gaussian noise sources. CCNC (2005)