Publications
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.