Edoardo Serra

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 77

Top Topics

Graph Representation

Top Venues

Publications

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)
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) (2024)
Md Athikul Islam, Edoardo Serra, Sushil Jajodia
GenFighter: A Generative and Evolutive Textual Attack Removal. CoRR (2024)
Siddhartha Shankar Das, S. M. Ferdous, Mahantesh M. Halappanavar, Edoardo Serra, Alex Pothen
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. KDD (2024)
Siddhartha Shankar Das, S. M. Ferdous, Mahantesh M. Halappanavar, Edoardo Serra, Alex Pothen
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. CoRR (2024)
Mikel Joaristi, Edoardo Serra
Structural iterative lexicographic autoencoded node representation. Data Min. Knowl. Discov. 37 (1) (2023)
Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra
Attribution Methods Assessment for Interpretable Machine Learning. SEBD (2023)
Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra
Graph Representation Learning for Complex Security Problems. SEBD (2023)
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) (2023)
Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra
A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution. SDS (2023)
Bishal Lakha, Jason Duran, Edoardo Serra, Francesca Spezzano
Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. DSAA (2023)
Janet Layne, Edoardo Serra
A Novel Method to Enable Transfer Learning of Structural Graph Representations. BigData (2023)
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)
Antonino Rullo, Michele Ianni, Edoardo Serra
Editorial: Security and privacy for the Internet of Things. Frontiers Comput. Sci. 5 (2023)
Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea, Carmine Gallo
Structural Node Representation Learning for Detecting Botnet Nodes. ICCSA (1) (2023)
Alexander Benjamin, Jack Herzoff, Liljana Babinkostova, Edoardo Serra
Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract). AAAI (2022)
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)
Soumitra Mehrotra, Anna Cinzia Squicciarini, Edoardo Serra, Younes Karimi
COVID-19 and Haters - A User Model Perspective. DSAA (2022)
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. Big Data (2022)
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)
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. Big Data (2022)
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)
Brian Daley, Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea
GAPS: Generality and Precision with Shapley Attribution. Big Data (2022)
Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
Generating Synthetic Discrete Datasets with Machine Learning. SEBD (2022)
Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea
Detecting Botnet Nodes via Structural Node Representation Learning. IEEE BigData (2021)
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)
Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea
Evaluating Attribution Methods in Machine Learning Interpretability. IEEE BigData (2021)
Mikel Joaristi, Edoardo Serra
SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
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)
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)
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)
Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea, Selim Soufargi, Carson K. Leung
An Effective and Efficient Graph Representation Learning Approach for Big Graphs. SEBD (2021)
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)
Antonella Guzzo, Mikel Joaristi, Antonino Rullo, Edoardo Serra
A multi-perspective approach for the analysis of complex business processes behavior. Expert Syst. Appl. 177 (2021)
Domenico Saccà, Edoardo Serra, Antonino Rullo
Multi-Sorted Inverse Frequent Itemsets Mining for Generating Realistic No-SQL Datasets (Discussion Paper). SEBD (2021)
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 (2021)
Janet Layne, Edoardo Serra
Inferential SIR-GN: Scalable Graph Representation Learning. CoRR (2021)
Miguel Quebrado, Edoardo Serra, Alfredo Cuzzocrea
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning. IEEE BigData (2021)
Brian Daley, Edoardo Serra, Alfredo Cuzzocrea
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning. IEEE BigData (2021)
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) (2020)
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) (2020)
Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea
Large-scale Sparse Structural Node Representation. IEEE BigData (2020)
Antonino Rullo, Antonella Guzzo, Edoardo Serra, Erika Tirrito
A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes. IDEAL (1) (2020)
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)
Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian
Top-k user-specified preferred answers in massive graph databases. Data Knowl. Eng. 127 (2020)
Samer Khamaiseh, Edoardo Serra, Dianxiang Xu
vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks. COMPSAC (2020)
Edoardo Serra, Anu Shrestha, Francesca Spezzano, Anna Cinzia Squicciarini
DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems. CODASPY (2020)
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)
Samer Khamaiseh, Edoardo Serra, Zhiyuan Li, Dianxiang Xu
Detecting Saturation Attacks in SDN via Machine Learning. ICCCS (2019)
Mikel Joaristi, Edoardo Serra, Francesca Spezzano
Detecting suspicious entities in Offshore Leaks networks. Soc. Netw. Anal. Min. 9 (1) (2019)
Farhad Rasapour, Edoardo Serra, Hoda Mehrpouyan
Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS). CANDAR (2019)
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)
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) (2019)
Mikel Joaristi, Arthur Putnam, Alfredo Cuzzocrea, Edoardo Serra
RIBS: Risky Blind-Spots for Attack Classification Models. IEEE BigData (2019)
Oxana Korzh, Edoardo Serra
Estimation of Remote Sensing Imagery Atmospheric Conditions Using Deep Learning and Image Classification. IntelliSys (2) (2018)
Edoardo Serra, Ashish Sharma, Mikel Joaristi, Oxana Korzh
Unknown Landscape Identification with CNN Transfer Learning. ASONAM (2018)
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) (2018)
Antonino Rullo, Edoardo Serra, Jorge Lobo
Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review. PADG@ESORICS (2018)
Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian
SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine. ACM Trans. Internet Techn. 18 (3) (2018)
Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea
The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution. IDEAS (2018)
Oxana Korzh, Mikel Joaristi, Edoardo Serra
Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning. BigData Congress (2018)
Mikel Joaristi, Edoardo Serra, Francesca Spezzano
Inferring Bad Entities Through the Panama Papers Network. ASONAM (2018)
Edoardo Serra, Haritha Akella, Alfredo Cuzzocrea
A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. ICMLA (2018)
Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea
Inverse Tree-OLAP: Definition, Complexity and First Solution. SEBD (2018)
Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino
Pareto Optimal Security Resource Allocation for Internet of Things. ACM Trans. Priv. Secur. 20 (4) (2017)
Edoardo Serra, Jaideep Vaidya, Haritha Akella, Ashish Sharma
Evaluating the Privacy Implications of Frequent Itemset Disclosure. SEC (2017)
Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino
A Game of Things: Strategic Allocation of Security Resources for IoT. IoTDI (2017)
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) (2017)
Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo
Shortfall-Based Optimal Security Provisioning for Internet of Things. ICDCS (2017)
Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo
Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios. ESORICS (2) (2017)
Srijan Kumar, Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian
Metric Logic Program Explanations for Complex Separator Functions. SUM (2016)
Domenico Saccà, Edoardo Serra, Antonio Piccolo
Multi-Sorted Inverse Frequent Itemsets Mining: On-Going Research. AMW (2016)
Mikel Joaristi, Edoardo Serra, Francesca Spezzano
Evaluating the impact of social media in detecting health-violating restaurants. ASONAM (2016)
Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino
Strategic Security Resource Allocation for Internet of Things. ICDCS (2016)
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) (2016)
Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian
ChoiceGAPs: Competitive Diffusion as a Massive Multi-player Game in Social Networks. SUM (2016)
Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian
Ensemble Models for Data-driven Prediction of Malware Infections. WSDM (2016)
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) (2015)
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) (2015)
Edoardo Serra, Francesca Spezzano
An Effective GPU-Based Approach to Probabilistic Query Confidence Computation. IEEE Trans. Knowl. Data Eng. 27 (1) (2015)
Noseong Park, Edoardo Serra, V. S. Subrahmanian
Saving Rhinos with Predictive Analytics. IEEE Intell. Syst. 30 (4) (2015)
Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian
ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks. CoRR (2014)
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) (2014)
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) (2014)
Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo
A Monotonic Extension for Horn-Clauses and its Significance in Datalog's Renaissance. AMW (2013)
Domenico Saccà, Edoardo Serra
Data Posting: a New Frontier for Data Exchange in the Big Data Era. AMW (2013)
Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo
Extending the power of datalog recursion. VLDB J. 22 (4) (2013)
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) (2013)
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) (2013)
Domenico Saccà, Edoardo Serra, Pietro Dicosta, Antonio Piccolo
Multi-Sorted Inverse Frequent Itemsets Mining. CoRR (2013)
Domenico Saccà, Edoardo Serra, Antonella Guzzo
Count Constraints for Inverse OLAP and Aggregate Data Exchange. SEBD (2012)
Domenico Saccà, Edoardo Serra, Antonella Guzzo
Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange. FoIKS (2012)
Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo
An Extension of Datalog for Graph Queries. SEBD (2012)
Domenico Saccà, Edoardo Serra
Data Exchange in Datalog Is Mainly a Matter of Choice. Datalog (2012)
Antonella Guzzo, Luigi Moccia, Domenico Saccà, Edoardo Serra
A Decomposition Technique for the Inverse Frequent Itemset Mining Problem. SEBD (2011)
Antonella Guzzo, Domenico Saccà, Edoardo Serra
An Effective Approach to Inverse Frequent Set Mining. ICDM (2009)