Edoardo Serra

Projects

• Precision Ag: Increasing Crop Yields Using Internet of Things (IoT) & Data Science. Role: PI. Source of Support: Idaho Department of Commerce. 

• Capacity Building: Integrating Data Science into Cybersecurity Curriculum. Role: PI. Source of Support: NSF Scholarship for Service (SFS). 

• Information Network Embedding for Scalable and Self Adaptive Analysis of Terrorist Organizations. Role: PI. Source of Support: Department of Defense/ARMY. 

• REU Site: Data-driven Security Role: co-PI Source of Support: National Science Foundation. 

• STEM Education for Cyber-Physical System Data-Driven Security. Role: PI. Source of Support: Idaho Stem Action Center and Idaho National Laboratories. 

• The Cyberdome, a Collaborative Education and Workforce Development Initiative. Role: co-PI. Source of Support: Idaho State Board of Education. 

• Integrated Faculty Workshop on Artificial Intelligence for Cybersecurity. Role: co-PI. Source of support: NSA: NCAE-C. 

• Meta Data Traffic Anomaly Detection via Interpretable Temporal Structural Provenance Graph Representation Learning. Role: PI. Source of support: NSA: NCAE-C. 

Some Recent Publications

• Layne, J., Ratul, Q., Serra. E., and Jajodia, S, 2024 Analyzing Robustness of Automatic Scientific Claim Verification Tools against Adversarial Rephrasing Attacks,  accepted to ACM TIST.

• Layne, J., Carpenter, J., Serra, E., & Gullo, F. (2023). Temporal sir-gn: Efficient and effective structural representation learning for temporal graphs. Proceedings of the VLDB Endowment, 16(9), 2075-2089.

• Shrestha, A., Duran, J., Spezzano, F., & Serra, E. (2023). Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks. ACM Transactions on the Web, 18(1), 1-24.

• Joaristi, M., and Serra E., 2022. Structural Iterative Lexicographic Autoencoded Node Representation. Accepted to Data Mining and Knowledge Discovery, Springer DAMI.

• Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra: Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining Knowl. Discov. 12(2) (2022)

• Shankar Das, S., Serra, E., Halappanavar, M., Pothen, A. and Al-Shaer, E., 2021. V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabili-ties. 8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021. (Best Application Paper)

• Joaristi, M., and Serra E., 2021. SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes. Accepted to ACM Transactions on Knowledge Discovery from Data.

• Guzzo, A., Rullo, A., Serra, E., and Joaristi, M., 2021. A Multi-perspective Approach for the Analysis of Complex Business Processes Behavior. Elsevier Expert Systems with Applications,114934.

• Chen, Haipeng, Mohammad T. Hajiaghayi, Sarit Kraus, Anshul Sawant, Edoardo Serra, V. S. Subrahmanian, and Yanhai Xiong. "PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications." IEEE Transactions on Computational Social Systems (2020).

• Edoardo Serra, Anu Shrestha, Francesca Spezzano and Anna Squicciarini. DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems, CODASPY 2020

• Mikel Joaristi, Arthur Putnam, Alfredo Cuzzocrea, and Edoardo Serra, RIBS: Risky Blind-Spots for Attack Classification Models, accepted to IEEE BigData PSBD 2019 

• Farhad Rasapour, Edoardo Serra, Hoda Mehrpouyan, Framework for Detecting ControlCommandInjection Attacks on Industrial Control Systems(ICS), accepted to CANDAR 2019 (The Seventh International Symposium on Computing and Networking)

• Samer Khamaiseh, Edoardo Serra, Zhiyuan Li and Dianxiang Xu, Detecting Saturation Attacks in SDN via Machine Learning, ICCCS 2019 (Runner up for the Best Paper Award)

• Domenico Sacca, Rullo, Antonino, Edoardo Serra.  Extending Inverse Frequent Itemsets Mining to Generate Realistic Datasets: Complexity, Accuracy and Emerging Applications", accepted for publication in Data Mining and Knowledge Discovery Journal, 2019.

• Rullo, Antonino, Edoardo Serra, and Jorge Lobo. "Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review." In Policy-Based Autonomic Data Governance, pp. 202-226. Springer, Cham, 2019.

• Rullo, Antonino, Edoardo Serra, Elisa Bertino, and Jorge Lobo. "Optimal Placement of Security Resources for the Internet of Things." In The Internet of Things for Smart Urban Ecosystems, pp. 95-124. Springer, Cham, 2019.

• Joaristi, Mikel, Edoardo Serra, and Francesca Spezzano. "Inferring Bad Entities Through the Panama Papers Network." In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 767-773. IEEE, 2018. (Best Paper Award)

• Korzh, Oxana, Mikel Joaristi, and Edoardo Serra. "Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning." In International Conference on Big Data, pp. 110-123. Springer, Cham, 2018.

• Serra, Edoardo, Haritha Akella, and Alfredo Cuzzocrea. "A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments." In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1479-1485. IEEE, 2018.

• Serra, Edoardo, Ashish Sharma, Mikel Joaristi, and Oxana Korzh. "Unknown landscape identification with CNN transfer learning." In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 813-820. IEEE, 2018.

Publications Google Scholar

Teaching

• CS 534: Machine Learning

• CS 421 - CS 521: Design of Algorithms

Relevant Professional Service

• Program Chair of Multidisciplinary International Symposium on Disinformation in Open Online Media 2022 (MISDOOM 2022)

• General Chair of 33rd ACM International Conference on Information and Knowledge Management 2024 (CIKM 2024)