Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. - Shaltiel Eloul; Sean J. Moran; Jacob Mendel (ACSAC, 2021)

DeSkew-LSH based Code-to-Code Recommendation Engine. - Fran Silavong; Sean J. Moran; Antonios Georgiadis; Rohan Saphal; Robert Otter (CoRR, 2021)

CV4Code: Sourcecode Understanding via Visual Code Representations. - Ruibo Shi; Lili Tao; Rohan Saphal; Fran Silavong; Sean J. Moran (ACCV (2), 2022)

Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. - Xiaoying Zhi; Yash Satsangi; Sean J. Moran; Shaltiel Eloul (CIKM, 2022)

Utility-Preserving Biometric Information Anonymization. - Bill Moriarty; Chun-Fu (Richard) Chen; Shaohan Hu; Sean J. Moran; Marco Pistoia; Vincenzo Piuri; Pierangela Samarati (ESORICS (2), 2022)

Senatus - A Fast and Accurate Code-to-Code Recommendation Engine. - Fran Silavong; Sean J. Moran; Antonios Georgiadis; Rohan Saphal; Robert Otter (MSR, 2022)

ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. - Antonios Georgiadis; Varun Babbar; Fran Silavong; Sean J. Moran; Robert Otter (CoRR, 2022)

Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. - Shaltiel Eloul; Fran Silavong; Sanket Kamthe; Antonios Georgiadis; Sean J. Moran (CoRR, 2022)

Topical: Learning Repository Embeddings from Source Code using Attention. - Agathe Lherondelle; Yash Satsangi; Fran Silavong; Shaltiel Eloul; Sean J. Moran (CoRR, 2022)

API-Spector: an API-to-API Specification Recommendation Engine. - Sae Young Moon; Fran Silavong; Sean J. Moran (CoRR, 2022)

Code Librarian: A Software Package Recommendation System. - Lili Tao; Alexandru-Petre Cazan; Senad Ibraimoski; Sean J. Moran (ICSE-SEIP, 2023)

A Baseline Generative Probabilistic Model for Weakly Supervised Learning. - Georgios Papadopoulos 007; Fran Silavong; Sean J. Moran (ECML/PKDD (6), 2023)

A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning. - Xiaoying Zhi; Varun Babbar; Pheobe Sun; Fran Silavong; Ruibo Shi; Sean J. Moran (CoRR, 2023)

A Benchmark Generative Probabilistic Model for Weak Supervised Learning. - Georgios Papadopoulos 007; Fran Silavong; Sean J. Moran (CoRR, 2023)

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection. - Maxime Labonne; Sean J. Moran (CoRR, 2023)

An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. - Najah Ghalyan; Kostis Gourgoulias; Yash Satsangi; Sean J. Moran; Maxime Labonne; Joseph Sabelja (CoRR, 2023)

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal. - Jiaeli Shi; Najah Ghalyan; Kostis Gourgoulias; John F. Buford; Sean J. Moran (CoRR, 2023)

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights Using the Fisher Diagonal. - Jialei Shi; Kostis Gourgoulias; John F. Buford; Sean J. Moran; Najah Ghalyan (ECCV Workshops (18), 2024)

Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings. - Agathe Lherondelle; Varun Babbar; Yash Satsangi; Fran Silavong; Shaltiel Eloul; Sean J. Moran (FinanSE@ICSE, 2024)

API-Miner: an API-to-API Specification Recommendation Engine. - Sae Young Moon; Gregor Kerr; Fran Silavong; Sean J. Moran (FinanSE@ICSE, 2024)

Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. - Shaltiel Eloul; Fran Silavong; Sanket Kamthe; Antonios Georgiadis; Sean J. Moran (WACV, 2024)

A Generative AI Assistant to Accelerate Cloud Migration. - Amal Vaidya; Mohan Krishna Vankayalapati; Jacky Chan; Senad Ibraimoski; Sean J. Moran (CoRR, 2024)

Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms. - Gregor Kerr; David Algorry; Senad Ibraimoski; Peter Maciver; Sean J. Moran (CoRR, 2024)

Estimating class separability of text embeddings with persistent homology. - Kostis Gourgoulias; Najah Ghalyan; Maxime Labonne; Yash Satsangi; Sean J. Moran; Joseph Sabelja (Trans. Mach. Learn. Res., 2024)

Model-Agnostic Utility-Preserving Biometric Information Anonymization. - Chun-Fu Chen 001; Bill Moriarty; Shaohan Hu; Sean J. Moran; Marco Pistoia; Vincenzo Piuri; Pierangela Samarati (Int. J. Inf. Sec., 2024)

Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling. - Mohammed Ayub; Mauro Annarumma; Gaston Liberman; David Algorry; Kostis Gourgoulias; Najah Ghalyan; Sean J. Moran (FinanSE@ICSE, 2025)

ADkit: A Framework for Anomaly Detection from Natural Language. - Kostis Gourgoulias; Senad Ibraimoski; Alexandru-Petre Cazan; Mohammed Ayub; Andre Frade; Leandro Martin Rios; Sean J. Moran (FinanSE@ICSE, 2025)

Using AI/ML to Find and Remediate Enterprise Secrets in Code and Document Sharing Platforms. - Gregor Kerr; David Algorry; Senad Ibraimoski; Peter Maciver; Kostis Gourgoulias; Sean J. Moran (FinanSE@ICSE, 2025)

LLMs as Interfaces for a Cloud Migration Assistant. - Gregor Kerr; Amal Vaidya; Mohan Krishna Vankayalapati; Jacky Chan; Senad Ibraimoski; Bismayan Chakrabarti; Sean J. Moran (FinanSE@ICSE, 2025)

A probabilistic model for API contract specification retrieval focusing on the openAPI standard. - Sae Young Moon; Gregor Kerr; Fran Silavong; Sean J. Moran (Data Min. Knowl. Discov., 2025)

On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o. - Rundong Liu; Andre Frade; Amal Vaidya; Maxime Labonne; Marcus Kaiser; Bismayan Chakrabarti; Jonathan Budd; Sean J. Moran (CoRR, 2025)

Learning a consensus sub-network with polarization regularization and one pass training. - Xiaoying Zhi; Varun Babbar; Rundong Liu; Pheobe Sun; Fran Silavong; Ruibo Shi; Sean J. Moran (Data Min. Knowl. Discov., 2025)