David Slater

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 16

Top Topics

Complex Systems

Software Repositories

Malicious Behavior

Top Venues

Publications

John R. McNulty, Lee Kho, Alexandria L. Case, Charlie Fornaca, Drew Johnston, David Slater, Joshua M. Abzug, Sybil A. Russell
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs. CoRR (2024)
Rees Hill, David Slater
Using a Metadata Approach to Extend the Functional Resonance Analysis Method to Model Quantitatively, Emergent Behaviours in Complex Systems. Syst. 12 (3) (2024)
Alex Isherwood, Matthew Koehler, David Slater
Using Evolutionary Model Discovery to Develop Robust Policies. WSC (2023)
Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. SP Workshops (2023)
Timothy Stevens, Ivoline C. Ngong, David Darais, Calvin Hirsch, David Slater, Joseph P. Near
Backpropagation Clipping for Deep Learning with Differential Privacy. CoRR (2022)
Lito Kriara, Joerg F. Hipp, Christopher Chatham, David Nobbs, David Slater, Florian Lipsmeier, Michael Lindemann
Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment. Sensors 21 (14) (2021)
David Slater, Scott Novotney, Jessica Moore, Sean Morgan, Scott Tenaglia
Robust keystroke transcription from the acoustic side-channel. ACSAC (2019)
Jessica Moore, Ben Gelman, David Slater
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. CoRR (2019)
Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater
Logical Segmentation of Source Code. CoRR (2019)
Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater
A Language-Agnostic Model for Semantic Source Code Labeling. CoRR (2019)
Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater
Logical Segmentation of Source Code. SEKE (2019)
Jessica Moore, Ben Gelman, David Slater
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. ENASE (2019)
Stanislaw Adaszewski, David Slater, Lester Melie-García, Bogdan Draganski, Piotr Bogorodzki
Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling. NeuroImage 172 (2018)
Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater
A language-agnostic model for semantic source code labeling. MASES@ASE (2018)
Konstantin Berlin, David Slater, Joshua Saxe
Malicious Behavior Detection using Windows Audit Logs. AISec@CCS (2015)
Konstantin Berlin, David Slater, Joshua Saxe
Malicious Behavior Detection using Windows Audit Logs. CoRR (2015)
Marco Catani, Michel Thiebaut de Schotten, David Slater, Flavio Dell'Acqua
Connectomic approaches before the connectome. NeuroImage 80 (2013)
David Slater, Patrick Tague, Radha Poovendran, Brian J. Matt
A coding-theoretic approach for efficient message verification over insecure channels. WISEC (2009)
David Slater, Radha Poovendran, Patrick Tague, Brian J. Matt
Tradeoffs between jamming resilience and communication efficiency in key establishment. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13 (1) (2009)
Patrick Tague, David Slater, Jason Rogers, Radha Poovendran
Evaluating the Vulnerability of Network Traffic Using Joint Security and Routing Analysis. IEEE Trans. Dependable Secur. Comput. 6 (2) (2009)
Patrick Tague, Sidharth Nabar, James A. Ritcey, David Slater, Radha Poovendran
Throughput optimization for multipath unicast routing under probabilistic jamming. PIMRC (2008)
Patrick Tague, David Slater, Jason Rogers, Radha Poovendran
Vulnerability of Network Traffic under Node Capture Attacks Using Circuit Theoretic Analysis. INFOCOM (2008)
Patrick Tague, David Slater, Radha Poovendran, Guevara Noubir
Linear programming models for jamming attacks on network traffic flows. WiOpt (2008)
Pei-hsiu Suen, Glenn Healey, David Slater
The impact of viewing geometry on material discriminability in hyperspectral images. IEEE Trans. Geosci. Remote. Sens. 39 (7) (2001)
David Slater, Glenn Healey
Physics-based Model Acquisition and Identification in Airborne Spectral Images. ICCV (2001)
Pei-hsiu Suen, Glenn Healey, David Slater
The Impact of Viewing Geometry on Vision Through the Atmosphere. ICCV (2001)
Glenn Healey, David Slater
Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions. IEEE Trans. Geosci. Remote. Sens. 37 (6) (1999)
Glenn Healey, David Slater
Invariant Recognition in Hyperspectral Images. CVPR (1999)
David Slater, Glenn Healey
Material Classification for 3D Objects in Aerial Hyperspectral Images. CVPR (1999)
David Slater, Glenn Healey
What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes? CVPR (1998)
David Slater, Glenn Healey, Phillip Chen-Yu Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle
A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples. SMC (1998)
David Slater, Glenn Healey
Object recognition using invariant profiles. CVPR (1997)
Glenn Healey, David Slater
Computing illumination-invariant descriptors of spatially filtered color image regions. IEEE Trans. Image Process. 6 (7) (1997)
David Slater, Glenn Healey
The Illumination-Invariant Matching of Deterministic Local Structure in Color Images. IEEE Trans. Pattern Anal. Mach. Intell. 19 (10) (1997)
David Slater, Glenn Healey, Phillip C.-Y. Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle
A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples. WACV (1996)
David Slater, Glenn Healey
The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 18 (2) (1996)
David Slater, Glenn Healey
Using a spectral reflectance model for the illumination-invariant recognition of local image structure. CVPR (1996)
David Slater, Glenn Healey
Illumination-Invariant Recognition of Local Color Distributions using Linear Models for Spectral Reflectance. Color Imaging Conference (1995)
David Slater, Glenn Healey
Combining Color and Geometric Information for the Illumination Invariant Recognition of 3D Objects. ICCV (1995)
Glenn Healey, David Slater
Using illumination invariant descriptors for recognition. CVPR (1994)
Glenn Healey, David Slater, Ted Lin, Ben Drda, A. Donald Goedeke
A system for real-time fire detection. CVPR (1993)
Martin Neil, Robert J. Cole, David Slater
Measures for maintenance management: A case study. J. Softw. Maintenance Res. Pract. 2 (4) (1990)