| Robust anomaly detection and regularized domain adaptation of classifiers with application to internet packet-flows DJ Miller, G Kesidis, J Raghuram US Patent 9,038,172, 2015 | 330 | 2015 |
| Comparative analysis of methods for detecting interacting loci L Chen, G Yu, CD Langefeld, DJ Miller, RT Guy, J Raghuram, X Yuan, ... BMC genomics 12, 1-23, 2011 | 48 | 2011 |
| Salting public traces with attack traffic to test flow classifiers ZB Celik, J Raghuram, G Kesidis, DJ Miller 4th Workshop on Cyber Security Experimentation and Test (CSET 11), 2011 | 44 | 2011 |
| A general framework for detecting anomalous inputs to DNN classifiers J Raghuram, V Chandrasekaran, S Jha, S Banerjee International Conference on Machine Learning, 8764-8775, 2021 | 34 | 2021 |
| Unsupervised, low latency anomaly detection of algorithmically generated domain names by generative probabilistic modeling J Raghuram, DJ Miller, G Kesidis Journal of advanced research 5 (4), 423-433, 2014 | 34 | 2014 |
| The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning Z Shi, J Chen, K Li, J Raghuram, X Wu, Y Liang, S Jha International Conference on Learning Representations, 2023 | 15 | 2023 |
| Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers J Raghuram, V Chandrasekaran, S Jha, S Banerjee arXiv preprint arXiv:2007.15147, 2020 | 9 | 2020 |
| Revisiting adversarial robustness of classifiers with a reject option J Chen, J Raghuram, J Choi, X Wu, Y Liang, S Jha The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, 2021 | 8 | 2021 |
| Concept-based Explanations for Out-of-Distribution Detectors J Choi, J Raghuram, R Feng, J Chen, S Jha, A Prakash International Conference on Machine Learning, 2023 | 7 | 2023 |
| Instance-level constraint-based semisupervised learning with imposed space-partitioning J Raghuram, DJ Miller, G Kesidis IEEE transactions on neural networks and learning systems 25 (8), 1520-1537, 2014 | 6 | 2014 |
| Few-Shot Domain Adaptation For End-to-End Communication J Raghuram, Y Zeng, DG Martí, S Jha, S Banerjee, J Widmer, RR Ortiz arXiv preprint arXiv:2108.00874, 2022 | 4 | 2022 |
| Generation bidding game with potentially false attestation of flexible demand Y Shan, J Raghuram, G Kesidis, DJ Miller, A Scaglione, J Rowe, K Levitt EURASIP Journal on Advances in Signal Processing 2015, 1-11, 2015 | 4 | 2015 |
| Improved generative semisupervised learning based on finely grained component-conditional class labeling DJ Miller, J Raghuram, G Kesidis, CM Collins Neural Computation 24 (7), 1926-1966, 2012 | 3 | 2012 |
| Semisupervised domain adaptation for mixture model based classifiers J Raghuram, DJ Miller, G Kesidis 46th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2012 | 3 | 2012 |
| Stratified Adversarial Robustness with Rejection J Chen, J Raghuram, J Choi, X Wu, Y Liang, S Jha International Conference on Machine Learning, 2023 | 1 | 2023 |
| The Trade-off between Label Efficiency and Universality of Representations from Contrastive Learning Z Shi, J Chen, K Li, J Raghuram, X Wu, Y Liang, S Jha First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 1 | 2022 |
| Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression MO Shahid, D Koch, J Raghuram, B Krishnaswamy, K Chintalapudi, ... 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), 2024 | | 2024 |
| Few-Shot Domain Adaptation For End-to-End Communication J Raghuram, Y Zeng, DG Martí, RR Ortiz, S Jha, J Widmer, S Banerjee International Conference on Learning Representations, 2023 | | 2023 |
| Generation bidding game with flexible demand Y Shan, J Raghuram, G Kesidis, C Griffin, K Levitt, DJ Miller, J Rowe, ... arXiv preprint arXiv:1408.6689, 2014 | | 2014 |
| Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints J Raghuram The Pennsylvania State University, 2014 | | 2014 |
David MillerProfessor of Electrical Engineering, Penn State UniversityVerified email at psu.edu
