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Sean J. Moran
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Journal Articles
- 2025
- [j3]Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran:
A probabilistic model for API contract specification retrieval focusing on the openAPI standard. Data Min. Knowl. Discov. 39(1): 1-24 (2025) - 2024
- [j2]Chun-Fu Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Model-Agnostic Utility-Preserving Biometric Information Anonymization. Int. J. Inf. Sec. 23(4): 2809-2826 (2024) - [j1]Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean J. Moran, Joseph Sabelja:
Estimating class separability of text embeddings with persistent homology. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2025
- [c15]Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Kostis Gourgoulias, Sean J. Moran:
Using AI/ML to Find and Remediate Enterprise Secrets in Code and Document Sharing Platforms. FinanSE@ICSE 2025: 1-2 - [c14]Gregor Kerr, Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Bismayan Chakrabarti, Sean J. Moran:
LLMs as Interfaces for a Cloud Migration Assistant. FinanSE@ICSE 2025: 1-6 - [c13]Mohammed Ayub, Mauro Annarumma, Gaston Liberman, David Algorry, Kostis Gourgoulias, Najah Ghalyan, Sean J. Moran:
Efficient and Explainable Anomaly Detection in Financial System Logs Using Statistical Modeling. FinanSE@ICSE 2025: 7-14 - [c12]Kostis Gourgoulias, Senad Ibraimoski, Alexandru-Petre Cazan, Mohammed Ayub, Andre Frade, Leandro Martin Rios, Sean J. Moran:
ADkit: A Framework for Anomaly Detection from Natural Language. FinanSE@ICSE 2025: 15-16 - 2024
- [c11]Jialei Shi, Kostis Gourgoulias
, John F. Buford, Sean J. Moran, Najah Ghalyan:
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights Using the Fisher Diagonal. ECCV Workshops (18) 2024: 1-16 - [c10]Sae Young Moon
API-Miner: an API-to-API Specification Recommendation Engine. FinanSE@ICSE 2024: 9-16 - [c9]Agathe Lherondelle
Topical: Automatic Repository Tagging using Attention on Hybrid Code Embeddings. FinanSE@ICSE 2024: 23-30 - [c8]Shaltiel Eloul
Mixing Gradients in Neural Networks as a Strategy to Enhance Privacy in Federated Learning. WACV 2024: 3944-3953 - 2023
- [c7]Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran:
Code Librarian: A Software Package Recommendation System. ICSE-SEIP 2023: 196-198 - [c6]Georgios Papadopoulos
A Baseline Generative Probabilistic Model for Weakly Supervised Learning. ECML/PKDD (6) 2023: 36-50 - 2022
- [c5]Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran:
CV4Code: Sourcecode Understanding via Visual Code Representations. ACCV (2) 2022: 291-306 - [c4]Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. CIKM 2022: 5069-5073 - [c3]Bill Moriarty, Chun-Fu (Richard) Chen, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Utility-Preserving Biometric Information Anonymization. ESORICS (2) 2022: 24-41 - [c2]Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter:
Senatus - A Fast and Accurate Code-to-Code Recommendation Engine. MSR 2022: 511-523 - 2021
- [c1]Shaltiel Eloul, Sean J. Moran, Jacob Mendel:
Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback. ACSAC 2021: 761-772
Informal and Other Publications
- 2025
- [i16]Rundong Liu, Andre Frade, Amal Vaidya, Maxime Labonne, Marcus Kaiser, Bismayan Chakrabarti, Jonathan Budd, Sean J. Moran:
On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o. CoRR abs/2502.07399 (2025) - 2024
- [i15]Amal Vaidya, Mohan Krishna Vankayalapati, Jacky Chan, Senad Ibraimoski, Sean J. Moran:
A Generative AI Assistant to Accelerate Cloud Migration. CoRR abs/2401.01753 (2024) - [i14]Gregor Kerr, David Algorry, Senad Ibraimoski, Peter Maciver, Sean J. Moran:
Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms. CoRR abs/2401.01754 (2024) - [i13]Chun-Fu Richard Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Model-Agnostic Utility-Preserving Biometric Information Anonymization. CoRR abs/2405.15062 (2024) - 2023
- [i12]Xiaoying Zhi, Varun Babbar, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran:
A New Baseline for GreenAI: Finding the Optimal Sub-Network via Layer and Channel Pruning. CoRR abs/2302.10798 (2023) - [i11]Georgios Papadopoulos
A Benchmark Generative Probabilistic Model for Weak Supervised Learning. CoRR abs/2303.17841 (2023) - [i10]Maxime Labonne, Sean J. Moran:
Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection. CoRR abs/2304.01238 (2023) - [i9]Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean J. Moran, Maxime Labonne, Joseph Sabelja:
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. CoRR abs/2305.15016 (2023) - [i8]Jiaeli Shi, Najah Ghalyan, Kostis Gourgoulias, John F. Buford, Sean J. Moran:
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal. CoRR abs/2311.10448 (2023) - 2022
- [i7]Antonios Georgiadis, Varun Babbar, Fran Silavong, Sean J. Moran, Robert Otter:
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation. CoRR abs/2203.13680 (2022) - [i6]Shaltiel Eloul, Fran Silavong, Sanket Kamthe, Antonios Georgiadis, Sean J. Moran:
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. CoRR abs/2204.12495 (2022) - [i5]Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong, Sean J. Moran:
CV4Code: Sourcecode Understanding via Visual Code Representations. CoRR abs/2205.08585 (2022) - [i4]Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran:
Topical: Learning Repository Embeddings from Source Code using Attention. CoRR abs/2208.09495 (2022) - [i3]Lili Tao, Alexandru-Petre Cazan, Senad Ibraimoski, Sean J. Moran:
Code Librarian: A Software Package Recommendation System. CoRR abs/2210.05406 (2022) - [i2]Sae Young Moon, Fran Silavong, Sean J. Moran:
API-Spector: an API-to-API Specification Recommendation Engine. CoRR abs/2212.07253 (2022) - 2021
- [i1]Fran Silavong, Sean J. Moran, Antonios Georgiadis, Rohan Saphal, Robert Otter:
DeSkew-LSH based Code-to-Code Recommendation Engine. CoRR abs/2111.04473 (2021)
Coauthor Index
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