| 2024 | CCS | PLeak: Prompt Leaking Attacks against Large Language Model Applications. | Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao |
| 2024 | ECCV | PFEDEDIT: Personalized Federated Learning via Automated Model Editing. | Haolin Yuan, William Paul, John N. Aucott, Philippe Burlina, Yinzhi Cao |
| 2023 | DSN | Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. | Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao |
| 2023 | MICCAI | EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. | Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao |
| 2023 | WACV | Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? | Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina |
| 2022 | CVPR | Robustness and Adaptation to Hidden Factors of Variation. | William Paul, Philippe Burlina |
| 2022 | ECCV | Addressing Heterogeneity in Federated Learning via Distributional Transformation. | Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao |
| 2022 | WACV | Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. | Nathan Drenkow, Neil Fendley, Philippe Burlina |
| 2021 | CVPR | Addressing Visual Search in Open and Closed Set Settings. | Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz |
| 2021 | NDSS | Practical Blind Membership Inference Attack via Differential Comparisons. | Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao |
| 2020 | ECCV | Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. | Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow |
| 2019 | CVPR | Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. | Philippe Burlina, Neil Joshi, I-Jeng Wang |
| 2019 | ICRA | Uncertainty-Aware Occupancy Map Prediction Using Generative Networks for Robot Navigation. | Kapil D. Katyal, Katie M. Popek, Chris Paxton, Philippe Burlina, Gregory D. Hager |
| 2018 | ACCV | Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. | Valentina Bellemo, Philippe Burlina, Yong Liu, Tien Yin Wong, Daniel Shu Wei Ting |
| 2018 | ACCV | AI-based AMD Analysis: A Review of Recent Progress. | Philippe Burlina, Neil Joshi, Neil M. Bressler |
| 2018 | ACCV | OCT Segmentation via Deep Learning: A Review of Recent Work. | Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina |
| 2018 | IJCNN | DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders. | Edward W. Staley, Kapil D. Katyal, Philippe Burlina |
| 2018 | MICCAI | Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. | Philippe Burlina, Neil Joshi, Elise Ng, Seth Billings, Alison W. Rebman, John N. Aucott |
| 2017 | CVPR | Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks. | Kapil D. Katyal, I-Jeng Wang, Philippe Burlina |
| 2017 | ICMLA | A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. | Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina |
| 2017 | ICMLA | Machine Learning Methods for 1D Ultrasound Breast Cancer Screening. | Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina |
| 2016 | ACCV | Face Detection and Object Recognition for a Retinal Prosthesis. | Derek M. Rollend, Paul E. Rosendall, Seth Billings, Philippe Burlina, Kevin C. Wolfe, Kapil D. Katyal |
| 2016 | ICPR | Ultrasound image analysis for myopathy detection. | Seth Billings, Jemima Albayda, Philippe Burlina |
| 2016 | ICPR | MRCNN: A stateful Fast R-CNN. | Philippe Burlina |
| 2014 | CBMS | Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography. | Saurabh Vyas, James S. Gammie, Philippe Burlina |
| 2013 | CBMS | Machine learning methods for in vivo skin parameter estimation. | Saurabh Vyas, Amit Banerjee, Philippe Burlina |
| 2010 | IGARSS | Sparse feature extraction for Support Vector Data Description applications. | Amit Banerjee, Radford Juang, Joshua B. Broadwater, Philippe Burlina |
| 2009 | FUSION | Comparative performance evaluation of GM-PHD filter in clutter. | Radford Juang, Philippe Burlina |
| 2008 | FUSION | Level set segmentation of hyperspectral images using joint spectral edge and signature information. | Radford Juang, Philippe Burlina, Amit Banerjee |
| 2007 | ICIP | Fast Hyperspectral Anomaly Detection via SVDD. | Amit Banerjee, Philippe Burlina, Reuven Meth |
| 2007 | IGARSS | A machine learning approach for finding hyperspectral endmembers. | Amit Banerjee, Philippe Burlina, Joshua B. Broadwater |
| 2007 | IGARSS | Kernel fully constrained least squares abundance estimates. | Joshua B. Broadwater, Rama Chellappa, Amit Banerjee, Philippe Burlina |
| 1999 | ICCV | Higher Order Statistical Learning for Vehicle Detection in Images. | A. N. Rajagopalan, Philippe Burlina, Rama Chellappa |
| 1999 | ICIAP | Single Camera Multiplexing for Multi-Target Tracking. | Chiraz BenAbdelkader, Philippe Burlina, Larry S. Davis |
| 1999 | IJCNN | Detection of people in images. | A. N. Rajagopalan, Philippe Burlina, Rama Chellappa |
| 1998 | ICCV | Contagion-Based Image Segmentation and Labeling. | Amit Banerjee, Philippe Burlina, Fady Alajaji |
| 1998 | ICIP | Frequency Dependence of ATD Performance in Foliage-Penetrating SAR Images. | Amit Banerjee, Philippe Burlina, Rama Chellappa, Rohit Kapoor |
| 1998 | ICIP | On-the-Fly Snake Construction from Video. | Gamze D. Cetintemel, Philippe Burlina |
| 1997 | ICASSP | Performance analysis and learning approaches for vehicle detection and counting in aerial images. | Vasu Parameswaran, Philippe Burlina, Rama Chellappa |
| 1997 | ICIP | Video Coding Using Hybrid Motion Compensation. | Carlos Morimoto, Philippe Burlina, Rama Chellappa |
| 1997 | MMSP | Adaptive source-channel subband video coding for wireless channels. | Murari Srinivasan, Rama Chellappa, Philippe Burlina |
| 1996 | CVPR | On a spectral attentional mechanism. | Philippe Burlina, Bruce Lin, Rama Chellappa |
| 1996 | ICASSP | Automatic image-to-site model registration. | Xiaopeng Zhang, Philippe Burlina, Qinfen Zheng, Ramalingam Chellappa |
| 1996 | ICIP | MAP decoding of gray-level images over binary channels with memory. | Fady Alajaji, Philippe Burlina, Rama Chellappa |
| 1996 | ICIP | Performance analysis of model-based video coding. | Carlos Morimoto, Philippe Burlina, Rama Chellappa, Yi-Sheng Yao |
| 1995 | ICIP | Image modeling and restoration through contagion urn schemes. | Fady Alajaji, Philippe Burlina |
| 1995 | ICIP | Electronic image stabilization using multiple visual cues. | Yi-Sheng Yao, Philippe Burlina, Rama Chellappa, Ting-Hu Wu |
| 1994 | CVPR | Time-to-X: analysis of motion through temporal parameters. | Philippe Burlina, Rama Chellappa |
| 1994 | ICIP | Spatio-temporal Moments and Generalized Spectral Analysis of Divergent Images for Motion Estimation. | Philippe Burlina, Rama Chellappa |
| 1992 | ICPR | Probabilistic navigation methods for uncertain and dynamic environments. | Philippe Burlina, Daniel DeMenthon, Larry S. Davis |
| 1992 | ICRA | Navigation with uncertainty: reaching a goal in a high collision risk region. | Philippe Burlina, Daniel DeMenthon, Larry S. Davis |