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ORCIDEdoardo Serra
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- affiliation: Boise State University
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2020 – today
- 2024
[j27]Anu Shrestha
, Jason Duran, Francesca Spezzano, Edoardo Serra:
Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks. ACM Trans. Web 18(1): 6:1-6:24 (2024)- [c63]Amelia Jobe, Richard Ky, Sandra Luo, Akshay Dhamsania, Sumit Purohit, Edoardo Serra:
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract). AAAI 2024: 23525-23527 - [c62]Siddhartha Shankar Das, S. M. Ferdous, Mahantesh M. Halappanavar, Edoardo Serra, Alex Pothen:
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. KDD 2024: 538-549 - [i6]Md Athikul Islam, Edoardo Serra, Sushil Jajodia:
GenFighter: A Generative and Evolutive Textual Attack Removal. CoRR abs/2404.11538 (2024) - [i5]Siddhartha Shankar Das, S. M. Ferdous, Mahantesh M. Halappanavar, Edoardo Serra, Alex Pothen:
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. CoRR abs/2405.15218 (2024) - 2023
- [j26]Mikel Joaristi, Edoardo Serra:
Structural iterative lexicographic autoencoded node representation. Data Min. Knowl. Discov. 37(1): 289-317 (2023) - [j25]Antonino Rullo, Michele Ianni, Edoardo Serra:
Editorial: Security and privacy for the Internet of Things. Frontiers Comput. Sci. 5 (2023) - [j24]Janet Layne, Justin Carpenter, Edoardo Serra, Francesco Gullo:
Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs. Proc. VLDB Endow. 16(9): 2075-2089 (2023) - [c61]Janet Layne, Edoardo Serra:
A Novel Method to Enable Transfer Learning of Structural Graph Representations. IEEE Big Data 2023: 5842-5851 - [c60]Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra:
An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability. COMPSAC 2023: 1030-1036 - [c59]Bishal Lakha, Jason Duran, Edoardo Serra, Francesca Spezzano:
Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. DSAA 2023: 1-8 - [c58]Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea, Carmine Gallo:
Structural Node Representation Learning for Detecting Botnet Nodes. ICCSA (1) 2023: 731-743 - [c57]Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra:
A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution. SDS 2023: 34-41 - [c56]Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra:
Attribution Methods Assessment for Interpretable Machine Learning. SEBD 2023: 65-75 - [c55]Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra:
Graph Representation Learning for Complex Security Problems. SEBD 2023: 279-290 - 2022
- [j23]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) - [c54]Alexander Benjamin, Jack Herzoff, Liljana Babinkostova, Edoardo Serra:
Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract). AAAI 2022: 12911-12912 - [c53]Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Edoardo Serra, Marion Scheepers:
Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract). AAAI 2022: 12941-12942 - [c52]Joseph Kitzhaber, Ashlyn Trapp, James Beck, Edoardo Serra, Francesca Spezzano, Eric Hayden, Jessica Roberts:
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract). AAAI 2022: 12985-12986 - [c51]Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer:
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. IEEE Big Data 2022: 1224-1229 - [c50]Brian Daley, Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea:
GAPS: Generality and Precision with Shapley Attribution. IEEE Big Data 2022: 5444-5450 - [c49]Bishal Lakha, Sara Lilly Mount, Edoardo Serra, Alfredo Cuzzocrea:
Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset. IEEE Big Data 2022: 5756-5764 - [c48]Soumitra Mehrotra, Anna Cinzia Squicciarini, Edoardo Serra, Younes Karimi:
COVID-19 and Haters - A User Model Perspective. DSAA 2022: 1-9 - [c47]Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra:
Generating Synthetic Discrete Datasets with Machine Learning. SEBD 2022: 341-350 - [e1]Francesca Spezzano, Adriana M. Amaral, Davide Ceolin, Lisa Fazio, Edoardo Serra:
Disinformation in Open Online Media - 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022, Proceedings. Lecture Notes in Computer Science 13545, Springer 2022, ISBN 978-3-031-18252-5 [contents] - 2021
- [j22]Gian Maria Campedelli, Janet Layne, Jack Herzoff, Edoardo Serra:
The geometrical shapes of violence: predicting and explaining terrorist operations through graph embeddings. J. Complex Networks 10(2) (2021) - [j21]Antonella Guzzo, Mikel Joaristi, Antonino Rullo, Edoardo Serra:
A multi-perspective approach for the analysis of complex business processes behavior. Expert Syst. Appl. 177: 114934 (2021) - [j20]Mikel Joaristi, Edoardo Serra:
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes. ACM Trans. Knowl. Discov. Data 15(6): 100:1-100:39 (2021) - [c46]Edoardo Serra, Sujeet Ayyapureddi, Qudrat E. Alahy Ratul, Anna Cinzia Squicciarini:
A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization. IEEE BigData 2021: 1204-1213 - [c45]Brian Daley, Edoardo Serra, Alfredo Cuzzocrea:
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning. IEEE BigData 2021: 5095-5101 - [c44]Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea:
Evaluating Attribution Methods in Machine Learning Interpretability. IEEE BigData 2021: 5239-5245 - [c43]Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea:
Detecting Botnet Nodes via Structural Node Representation Learning. IEEE BigData 2021: 5357-5364 - [c42]Miguel Quebrado, Edoardo Serra, Alfredo Cuzzocrea:
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning. IEEE BigData 2021: 5441-5449 - [c41]Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Janet Layne, Edoardo Serra, Marion Scheepers:
Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability. IEEE BigData 2021: 5602-5608 - [c40]Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer:
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. DSAA 2021: 1-12 - [c39]Lizhi Xiang, Arif Khan, Edoardo Serra, Mahantesh Halappanavar, Aravind Sukumaran-Rajam:
cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure. SC 2021: 69 - [c38]Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea, Selim Soufargi, Carson K. Leung:
An Effective and Efficient Graph Representation Learning Approach for Big Graphs. SEBD 2021: 140-149 - [c37]Domenico Saccà, Edoardo Serra, Antonino Rullo:
Multi-Sorted Inverse Frequent Itemsets Mining for Generating Realistic No-SQL Datasets (Discussion Paper). SEBD 2021: 347-354 - [i4]Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer:
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. CoRR abs/2102.11498 (2021) - [i3]Janet Layne, Edoardo Serra:
Inferential SIR-GN: Scalable Graph Representation Learning. CoRR abs/2111.04826 (2021) - 2020
- [j19]Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian:
Top-k user-specified preferred answers in massive graph databases. Data Knowl. Eng. 127: 101798 (2020) - [j18]Anu Shrestha, Edoardo Serra, Francesca Spezzano:
Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 22 (2020) - [j17]Haipeng Chen, Mohammad Taghi Hajiaghayi, Sarit Kraus, Anshul Sawant, Edoardo Serra, V. S. Subrahmanian, Yanhai Xiong:
PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications. IEEE Trans. Comput. Soc. Syst. 7(1): 42-57 (2020) - [c36]Donald Winiecki, Katherine Kappelman, Bryant Hay, Mikel Joaristi, Edoardo Serra, Francesca Spezzano:
Validating Bad Entity Ranking in the Panama Papers via Open-source Intelligence. ASONAM 2020: 752-759 - [c35]Oxana Korzh, Ashish Sharma, Mikel Joaristi, Edoardo Serra, Alfredo Cuzzocrea:
An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning. IEEE BigData 2020: 5098-5107 - [c34]Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea:
Large-scale Sparse Structural Node Representation. IEEE BigData 2020: 5247-5253 - [c33]Edoardo Serra, Anu Shrestha, Francesca Spezzano, Anna Cinzia Squicciarini:
DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems. CODASPY 2020: 29-38 - [c32]Samer Khamaiseh, Edoardo Serra, Dianxiang Xu:
vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks. COMPSAC 2020: 851-860 - [c31]Antonino Rullo, Antonella Guzzo, Edoardo Serra, Erika Tirrito:
A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes. IDEAL (1) 2020: 51-63
2010 – 2019
- 2019
- [j16]Domenico Saccà, Edoardo Serra, Antonino Rullo:
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications. Data Min. Knowl. Discov. 33(6): 1736-1774 (2019) - [j15]Mikel Joaristi, Edoardo Serra, Francesca Spezzano:
Detecting suspicious entities in Offshore Leaks networks. Soc. Netw. Anal. Min. 9(1): 62:1-62:15 (2019) - [c30]Domenico Saccà, Edoardo Serra:
Number of Minimal Hypergraph Transversals and Complexity of IFM with Infrequency: High in Theory, but Often Not so Much in Practice! AI*IA 2019: 193-209 - [c29]Mikel Joaristi, Arthur Putnam, Alfredo Cuzzocrea, Edoardo Serra:
RIBS: Risky Blind-Spots for Attack Classification Models. IEEE BigData 2019: 5773-5779 - [c28]Farhad Rasapour, Edoardo Serra, Hoda Mehrpouyan:
Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS). CANDAR 2019: 211-217 - [c27]Samer Khamaiseh, Edoardo Serra, Zhiyuan Li, Dianxiang Xu:
Detecting Saturation Attacks in SDN via Machine Learning. ICCCS 2019: 1-8 - [p1]Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo:
Optimal Placement of Security Resources for the Internet of Things. The Internet of Things for Smart Urban Ecosystems 2019: 95-124 - 2018
- [j14]Tanmoy Chakraborty, Sushil Jajodia, Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian:
Hybrid adversarial defense: Merging honeypots and traditional security methods. J. Comput. Secur. 26(5): 615-645 (2018) - [j13]Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian:
SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine. ACM Trans. Internet Techn. 18(3): 30:1-30:41 (2018) - [c26]Mikel Joaristi, Edoardo Serra, Francesca Spezzano:
Inferring Bad Entities Through the Panama Papers Network. ASONAM 2018: 767-773 - [c25]Edoardo Serra, Ashish Sharma, Mikel Joaristi, Oxana Korzh:
Unknown Landscape Identification with CNN Transfer Learning. ASONAM 2018: 813-820 - [c24]Oxana Korzh, Mikel Joaristi, Edoardo Serra:
Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning. BigData Congress 2018: 110-123 - [c23]Antonino Rullo, Edoardo Serra, Jorge Lobo:
Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review. PADG@ESORICS 2018: 202-226 - [c22]Edoardo Serra, Haritha Akella, Alfredo Cuzzocrea:
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. ICMLA 2018: 1479-1485 - [c21]Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea:
The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution. IDEAS 2018: 148-156 - [c20]Oxana Korzh, Edoardo Serra:
Estimation of Remote Sensing Imagery Atmospheric Conditions Using Deep Learning and Image Classification. IntelliSys (2) 2018: 1237-1244 - [c19]Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea:
Inverse Tree-OLAP: Definition, Complexity and First Solution. SEBD 2018 - 2017
- [j12]Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I. Simari, V. S. Subrahmanian:
A Probabilistic Logic of Cyber Deception. IEEE Trans. Inf. Forensics Secur. 12(11): 2532-2544 (2017) - [j11]Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino:
Pareto Optimal Security Resource Allocation for Internet of Things. ACM Trans. Priv. Secur. 20(4): 15:1-15:30 (2017) - [c18]Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo:
Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios. ESORICS (2) 2017: 419-436 - [c17]Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo:
Shortfall-Based Optimal Security Provisioning for Internet of Things. ICDCS 2017: 2585-2586 - [c16]Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino:
A Game of Things: Strategic Allocation of Security Resources for IoT. IoTDI 2017: 185-190 - [c15]Edoardo Serra, Jaideep Vaidya, Haritha Akella, Ashish Sharma:
Evaluating the Privacy Implications of Frequent Itemset Disclosure. SEC 2017: 506-519 - 2016
- [j10]Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian:
Using temporal probabilistic logic for optimal monitoring of security events with limited resources. J. Comput. Secur. 24(6): 735-791 (2016) - [c14]Domenico Saccà, Edoardo Serra, Antonio Piccolo:
Multi-Sorted Inverse Frequent Itemsets Mining: On-Going Research. AMW 2016 - [c13]Mikel Joaristi, Edoardo Serra, Francesca Spezzano:
Evaluating the impact of social media in detecting health-violating restaurants. ASONAM 2016: 626-633 - [c12]Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino:
Strategic Security Resource Allocation for Internet of Things. ICDCS 2016: 737-738 - [c11]Srijan Kumar, Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian:
Metric Logic Program Explanations for Complex Separator Functions. SUM 2016: 199-213 - [c10]Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian:
ChoiceGAPs: Competitive Diffusion as a Massive Multi-player Game in Social Networks. SUM 2016: 303-319 - [c9]Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian:
Ensemble Models for Data-driven Prediction of Malware Infections. WSDM 2016: 583-592 - 2015
- [j9]Noseong Park, Edoardo Serra, V. S. Subrahmanian:
Saving Rhinos with Predictive Analytics. IEEE Intell. Syst. 30(4): 86-88 (2015) - [j8]Noseong Park, Edoardo Serra, Tom Snitch, V. S. Subrahmanian:
APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine. IEEE Trans. Comput. Soc. Syst. 2(2): 15-37 (2015) - [j7]Edoardo Serra, Sushil Jajodia, Andrea Pugliese, Antonino Rullo, V. S. Subrahmanian:
Pareto-Optimal Adversarial Defense of Enterprise Systems. ACM Trans. Inf. Syst. Secur. 17(3): 11:1-11:39 (2015) - [j6]Edoardo Serra, Francesca Spezzano:
An Effective GPU-Based Approach to Probabilistic Query Confidence Computation. IEEE Trans. Knowl. Data Eng. 27(1): 17-31 (2015) - 2014
- [j5]Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian:
Behavior Informatics: A New Perspective. IEEE Intell. Syst. 29(4): 62-80 (2014) - [j4]Edoardo Serra, V. S. Subrahmanian:
A Survey of Quantitative Models of Terror Group Behavior and an Analysis of Strategic Disclosure of Behavioral Models. IEEE Trans. Comput. Soc. Syst. 1(1): 66-88 (2014) - [i2]Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian:
ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks. CoRR abs/1410.6118 (2014) - 2013
- [j3]Antonella Guzzo, Luigi Moccia, Domenico Saccà, Edoardo Serra:
Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs. ACM Trans. Knowl. Discov. Data 7(4): 18:1-18:39 (2013) - [j2]Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo:
A declarative extension of horn clauses, and its significance for datalog and its applications. Theory Pract. Log. Program. 13(4-5): 609-623 (2013) - [j1]Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo:
Extending the power of datalog recursion. VLDB J. 22(4): 471-493 (2013) - [c8]Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo:
A Monotonic Extension for Horn-Clauses and its Significance in Datalog's Renaissance. AMW 2013 - [c7]Domenico Saccà, Edoardo Serra:
Data Posting: a New Frontier for Data Exchange in the Big Data Era. AMW 2013 - [i1]Domenico Saccà, Edoardo Serra, Pietro Dicosta, Antonio Piccolo:
Multi-Sorted Inverse Frequent Itemsets Mining. CoRR abs/1310.3939 (2013) - 2012
- [c6]Domenico Saccà, Edoardo Serra:
Data Exchange in Datalog Is Mainly a Matter of Choice. Datalog 2012: 153-164 - [c5]Domenico Saccà, Edoardo Serra, Antonella Guzzo:
Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange. FoIKS 2012: 352-369 - [c4]Domenico Saccà, Edoardo Serra, Antonella Guzzo:
Count Constraints for Inverse OLAP and Aggregate Data Exchange. SEBD 2012: 27-34 - [c3]Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo:
An Extension of Datalog for Graph Queries. SEBD 2012: 177-184 - 2011
- [c2]Antonella Guzzo, Luigi Moccia, Domenico Saccà, Edoardo Serra:
A Decomposition Technique for the Inverse Frequent Itemset Mining Problem. SEBD 2011: 66-75
2000 – 2009
- 2009
- [c1]Antonella Guzzo, Domenico Saccà, Edoardo Serra:
An Effective Approach to Inverse Frequent Set Mining. ICDM 2009: 806-811
Coauthor Index
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