| 2023 | AAAI | Less is More: Data Pruning for Faster Adversarial Training. | Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn |
| 2023 | DATE | Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. | Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn |
| 2022 | ACSSC | Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling. | Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn |
| 2022 | WACV | More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. | Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn |
| 2021 | ACSSC | Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks. | Jose Cadena, Priyadip Ray, Ryan A. Goldhahn |
| 2021 | MASS | Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing. | Cheng Chen, Bhavya Kailkhura, Ryan A. Goldhahn, Yi Zhou |
| 2021 | SENSYS | Collaborative energy demand response with decentralized actor and centralized critic. | Ruben Glatt, Felipe Leno da Silva, Braden Soper, William A. Dawson, Edward Rusu, Ryan A. Goldhahn |
| 2014 | FUSION | Cognitive multistatic AUV networks. | Paolo Braca, Ryan A. Goldhahn, Kevin D. LePage, Stefano Maran, Vincenzo Matta, Peter Willett |
| 2014 | ICASSP | Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity. | Ryan A. Goldhahn, Paolo Braca, Kevin D. LePage, Peter Willett, Stefano Maran, Vincenzo Matta |
| 2007 | ICASSP | Waveguide Invariant Reverberation Mitigation for Active Sonar. | Ryan A. Goldhahn, Granger Hickman, Jeffrey L. Krolik |