| 2023 | WSC | Using Evolutionary Model Discovery to Develop Robust Policies. | Alex Isherwood, Matthew Koehler, David Slater |
| 2023 | SP | 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 |
| 2019 | ACSAC | Robust keystroke transcription from the acoustic side-channel. | David Slater, Scott Novotney, Jessica Moore, Sean Morgan, Scott Tenaglia |
| 2019 | ENASE | A Convolutional Neural Network for Language-Agnostic Source Code Summarization. | Jessica Moore, Ben Gelman, David Slater |
| 2019 | SEKE | Logical Segmentation of Source Code. | Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater |
| 2015 | CCS | Malicious Behavior Detection using Windows Audit Logs. | Konstantin Berlin, David Slater, Joshua Saxe |
| 2008 | INFOCOM | Vulnerability of Network Traffic under Node Capture Attacks Using Circuit Theoretic Analysis. | Patrick Tague, David Slater, Jason Rogers, Radha Poovendran |
| 2008 | PIMRC | Throughput optimization for multipath unicast routing under probabilistic jamming. | Patrick Tague, Sidharth Nabar, James A. Ritcey, David Slater, Radha Poovendran |
| 2008 | WiOpt | Linear programming models for jamming attacks on network traffic flows. | Patrick Tague, David Slater, Radha Poovendran, Guevara Noubir |
| 2001 | ICCV | Physics-based Model Acquisition and Identification in Airborne Spectral Images. | David Slater, Glenn Healey |
| 2001 | ICCV | The Impact of Viewing Geometry on Vision Through the Atmosphere. | Pei-hsiu Suen, Glenn Healey, David Slater |
| 1999 | CVPR | Invariant Recognition in Hyperspectral Images. | Glenn Healey, David Slater |
| 1999 | CVPR | Material Classification for 3D Objects in Aerial Hyperspectral Images. | David Slater, Glenn Healey |
| 1998 | CVPR | What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes? | David Slater, Glenn Healey |
| 1998 | SMC | 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 |
| 1997 | CVPR | Object recognition using invariant profiles. | David Slater, Glenn Healey |
| 1996 | CVPR | Using a spectral reflectance model for the illumination-invariant recognition of local image structure. | David Slater, Glenn Healey |
| 1996 | WACV | 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 |
| 1995 | ICCV | Combining Color and Geometric Information for the Illumination Invariant Recognition of 3D Objects. | David Slater, Glenn Healey |
| 1994 | CVPR | Using illumination invariant descriptors for recognition. | Glenn Healey, David Slater |
| 1993 | CVPR | A system for real-time fire detection. | Glenn Healey, David Slater, Ted Lin, Ben Drda, A. Donald Goedeke |