David Slater

According to our database, David Slater authored at least 36 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs.

John R. McNulty, Lee Kho, Alexandria L. Case, Charlie Fornaca, Drew Johnston, David Slater, Joshua M. Abzug, Sybil A. Russell

CoRR, 2024

2023

Using Evolutionary Model Discovery to Develop Robust Policies.

Alex Isherwood, Matthew Koehler, David Slater

Proceedings of the Winter Simulation Conference, 2023

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models.

Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater

Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

2021

Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment.

Lito Kriara, Joerg F. Hipp, Christopher Chatham, David Nobbs, David Slater, Florian Lipsmeier, Michael Lindemann

Sensors, 2021

2019

Logical Segmentation of Source Code.

Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

A Convolutional Neural Network for Language-Agnostic Source Code Summarization.

Jessica Moore, Ben Gelman, David Slater

Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, 2019

Robust keystroke transcription from the acoustic side-channel.

David Slater, Scott Novotney, Jessica Moore, Sean Morgan, Scott Tenaglia

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling.

Stanislaw Adaszewski, David Slater, Lester Melie-García, Bogdan Draganski, Piotr Bogorodzki

NeuroImage, 2018

A language-agnostic model for semantic source code labeling.

Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater

Proceedings of the 1st International Workshop on Machine Learning and Software Engineering in Symbiosis, 2018

2015

Malicious Behavior Detection using Windows Audit Logs.

Konstantin Berlin, David Slater, Joshua Saxe

Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, 2015

2013

Connectomic approaches before the connectome.

Marco Catani, Michel Thiebaut de Schotten, David Slater, Flavio Dell'Acqua

NeuroImage, 2013

2009

Evaluating the Vulnerability of Network Traffic Using Joint Security and Routing Analysis.

Patrick Tague, David Slater, Jason Rogers, Radha Poovendran

IEEE Trans. Dependable Secur. Comput., 2009

Tradeoffs between jamming resilience and communication efficiency in key establishment.

David Slater, Radha Poovendran, Patrick Tague, Brian J. Matt

ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009

A coding-theoretic approach for efficient message verification over insecure channels.

David Slater, Patrick Tague, Radha Poovendran, Brian J. Matt

Proceedings of the Second ACM Conference on Wireless Network Security, 2009

2008

Linear programming models for jamming attacks on network traffic flows.

Patrick Tague, David Slater, Radha Poovendran, Guevara Noubir

Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, 2008

Throughput optimization for multipath unicast routing under probabilistic jamming.

Patrick Tague, Sidharth Nabar, James A. Ritcey, David Slater, Radha Poovendran

Proceedings of the IEEE 19th International Symposium on Personal, 2008

Vulnerability of Network Traffic under Node Capture Attacks Using Circuit Theoretic Analysis.

Patrick Tague, David Slater, Jason Rogers, Radha Poovendran

Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

2001

The impact of viewing geometry on material discriminability in hyperspectral images.

Pei-hsiu Suen, Glenn Healey, David Slater

IEEE Trans. Geosci. Remote. Sens., 2001

The Impact of Viewing Geometry on Vision Through the Atmosphere.

Pei-hsiu Suen, Glenn Healey, David Slater

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Physics-based Model Acquisition and Identification in Airborne Spectral Images.

David Slater, Glenn Healey

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

1999

Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions.

Glenn Healey, David Slater

IEEE Trans. Geosci. Remote. Sens., 1999

Material Classification for 3D Objects in Aerial Hyperspectral Images.

David Slater, Glenn Healey

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Invariant Recognition in Hyperspectral Images.

Glenn Healey, David Slater

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998

A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples.

David Slater, Glenn Healey, Phillip Chen-Yu Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes?

David Slater, Glenn Healey

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997

Computing illumination-invariant descriptors of spatially filtered color image regions.

Glenn Healey, David Slater

IEEE Trans. Image Process., 1997

The Illumination-Invariant Matching of Deterministic Local Structure in Color Images.

David Slater, Glenn Healey

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Object recognition using invariant profiles.

David Slater, Glenn Healey

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996

The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants.

David Slater, Glenn Healey

IEEE Trans. Pattern Anal. Mach. Intell., 1996

A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples.

David Slater, Glenn Healey, Phillip C.-Y. Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle

Proceedings of ThirdIEEE Workshop on Applications of Computer Vision, 1996

Using a spectral reflectance model for the illumination-invariant recognition of local image structure.

David Slater, Glenn Healey

Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995

Illumination-Invariant Recognition of Local Color Distributions using Linear Models for Spectral Reflectance.

David Slater, Glenn Healey

Proceedings of the 3rd Color and Imaging Conference, 1995

Combining Color and Geometric Information for the Illumination Invariant Recognition of 3D Objects.

David Slater, Glenn Healey

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

1994

Using illumination invariant descriptors for recognition.

Glenn Healey, David Slater

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

1993

A system for real-time fire detection.

Glenn Healey, David Slater, Ted Lin, Ben Drda, A. Donald Goedeke

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

1990

Measures for maintenance management: A case study.

Martin Neil, Robert J. Cole, David Slater

J. Softw. Maintenance Res. Pract., 1990