Edoardo Serra

According to our database, Edoardo Serra authored at least 95 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks.

Anu Shrestha, Jason Duran, Francesca Spezzano, Edoardo Serra

ACM Trans. Web, February, 2024

GenFighter: A Generative and Evolutive Textual Attack Removal.

Md Athikul Islam, Edoardo Serra, Sushil Jajodia

CoRR, 2024

AGS-GNN: Attribute-guided Sampling for Graph Neural Networks.

Siddhartha Shankar Das, S. M. Ferdous, Mahantesh M. Halappanavar, Edoardo Serra, Alex Pothen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract).

Annat Koren, Chandler Underwood, Edoardo Serra, Francesca Spezzano

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract).

Amelia Jobe, Richard Ky, Sandra Luo, Akshay Dhamsania, Sumit Purohit, Edoardo Serra

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs.

Janet Layne, Justin Carpenter, Edoardo Serra, Francesco Gullo

Proc. VLDB Endow., 2023

Editorial: Security and privacy for the Internet of Things.

Antonino Rullo, Michele Ianni, Edoardo Serra

Frontiers Comput. Sci., 2023

Structural iterative lexicographic autoencoded node representation.

Mikel Joaristi, Edoardo Serra

Data Min. Knowl. Discov., 2023

Attribution Methods Assessment for Interpretable Machine Learning.

Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Graph Representation Learning for Complex Security Problems.

Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution.

Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra

Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

Structural Node Representation Learning for Detecting Botnet Nodes.

Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea, Carmine Gallo

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph.

Bishal Lakha, Jason Duran, Edoardo Serra, Francesca Spezzano

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability.

Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

A Novel Method to Enable Transfer Learning of Structural Graph Representations.

Janet Layne, Edoardo Serra

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Machine learning methods for generating high dimensional discrete datasets.

Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra

WIREs Data Mining Knowl. Discov., 2022

Generating Synthetic Discrete Datasets with Machine Learning.

Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

COVID-19 and Haters - A User Model Perspective.

Soumitra Mehrotra, Anna Cinzia Squicciarini, Edoardo Serra, Younes Karimi

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset.

Bishal Lakha, Sara Lilly Mount, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the IEEE International Conference on Big Data, 2022

VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators.

Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer

Proceedings of the IEEE International Conference on Big Data, 2022

GAPS: Generality and Precision with Shapley Attribution.

Brian Daley, Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the IEEE International Conference on Big Data, 2022

Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract).

Joseph Kitzhaber, Ashlyn Trapp, James Beck, Edoardo Serra, Francesca Spezzano, Eric Hayden, Jessica Roberts

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract).

Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Edoardo Serra, Marion Scheepers

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract).

Alexander Benjamin, Jack Herzoff, Liljana Babinkostova, Edoardo Serra

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes.

Mikel Joaristi, Edoardo Serra

ACM Trans. Knowl. Discov. Data, 2021

A multi-perspective approach for the analysis of complex business processes behavior.

Antonella Guzzo, Mikel Joaristi, Antonino Rullo, Edoardo Serra

Expert Syst. Appl., 2021

Inferential SIR-GN: Scalable Graph Representation Learning.

Janet Layne, Edoardo Serra

CoRR, 2021

The geometrical shapes of violence: predicting and explaining terrorist operations through graph embeddings.

Gian Maria Campedelli, Janet Layne, Jack Herzoff, Edoardo Serra

J. Complex Networks, 2021

An Effective and Efficient Graph Representation Learning Approach for Big Graphs.

Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea, Selim Soufargi, Carson K. Leung

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Multi-Sorted Inverse Frequent Itemsets Mining for Generating Realistic No-SQL Datasets (Discussion Paper).

Domenico Saccà, Edoardo Serra, Antonino Rullo

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure.

Lizhi Xiang, Arif Khan, Edoardo Serra, Mahantesh Halappanavar, Aravind Sukumaran-Rajam

Proceedings of the International Conference for High Performance Computing, 2021

V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities.

Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization.

Edoardo Serra, Sujeet Ayyapureddi, Qudrat E. Alahy Ratul, Anna Cinzia Squicciarini

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Evaluating Attribution Methods in Machine Learning Interpretability.

Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning.

Miguel Quebrado, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability.

Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Janet Layne, Edoardo Serra, Marion Scheepers

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning.

Brian Daley, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Detecting Botnet Nodes via Structural Node Representation Learning.

Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications.

Haipeng Chen, Mohammad Taghi Hajiaghayi, Sarit Kraus, Anshul Sawant, Edoardo Serra, V. S. Subrahmanian, Yanhai Xiong

IEEE Trans. Comput. Soc. Syst., 2020

Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums.

Anu Shrestha, Edoardo Serra, Francesca Spezzano

Netw. Model. Anal. Health Informatics Bioinform., 2020

Top-k user-specified preferred answers in massive graph databases.

Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian

Data Knowl. Eng., 2020

A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes.

Antonino Rullo, Antonella Guzzo, Edoardo Serra, Erika Tirrito

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks.

Samer Khamaiseh, Edoardo Serra, Dianxiang Xu

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems.

Edoardo Serra, Anu Shrestha, Francesca Spezzano, Anna Cinzia Squicciarini

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

Large-scale Sparse Structural Node Representation.

Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning.

Oxana Korzh, Ashish Sharma, Mikel Joaristi, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Validating Bad Entity Ranking in the Panama Papers via Open-source Intelligence.

Donald Winiecki, Katherine Kappelman, Bryant Hay, Mikel Joaristi, Edoardo Serra, Francesca Spezzano

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

Detecting suspicious entities in Offshore Leaks networks.

Mikel Joaristi, Edoardo Serra, Francesca Spezzano

Soc. Netw. Anal. Min., 2019

Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications.

Domenico Saccà, Edoardo Serra, Antonino Rullo

Data Min. Knowl. Discov., 2019

Detecting Saturation Attacks in SDN via Machine Learning.

Samer Khamaiseh, Edoardo Serra, Zhiyuan Li, Dianxiang Xu

Proceedings of the 2019 4th International Conference on Computing, 2019

Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS).

Farhad Rasapour, Edoardo Serra, Hoda Mehrpouyan

Proceedings of the 2019 Seventh International Symposium on Computing and Networking, 2019

RIBS: Risky Blind-Spots for Attack Classification Models.

Mikel Joaristi, Arthur Putnam, Alfredo Cuzzocrea, Edoardo Serra

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Number of Minimal Hypergraph Transversals and Complexity of IFM with Infrequency: High in Theory, but Often Not so Much in Practice!

Domenico Saccà, Edoardo Serra

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

Optimal Placement of Security Resources for the Internet of Things.

Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo

Proceedings of the Internet of Things for Smart Urban Ecosystems., 2019

2018

SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine.

Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian

ACM Trans. Internet Techn., 2018

Hybrid adversarial defense: Merging honeypots and traditional security methods.

Tanmoy Chakraborty, Sushil Jajodia, Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian

J. Comput. Secur., 2018

Inverse Tree-OLAP: Definition, Complexity and First Solution.

Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Estimation of Remote Sensing Imagery Atmospheric Conditions Using Deep Learning and Image Classification.

Oxana Korzh, Edoardo Serra

Proceedings of the Intelligent Systems and Applications, 2018

The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution.

Domenico Saccà, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments.

Edoardo Serra, Haritha Akella, Alfredo Cuzzocrea

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review.

Antonino Rullo, Edoardo Serra, Jorge Lobo

Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning.

Oxana Korzh, Mikel Joaristi, Edoardo Serra

Proceedings of the Big Data - BigData 2018, 2018

Unknown Landscape Identification with CNN Transfer Learning.

Edoardo Serra, Ashish Sharma, Mikel Joaristi, Oxana Korzh

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Inferring Bad Entities Through the Panama Papers Network.

Mikel Joaristi, Edoardo Serra, Francesca Spezzano

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Pareto Optimal Security Resource Allocation for Internet of Things.

Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino

ACM Trans. Priv. Secur., 2017

A Probabilistic Logic of Cyber Deception.

Sushil Jajodia, Noseong Park, Fabio Pierazzi, Andrea Pugliese, Edoardo Serra, Gerardo I. Simari, V. S. Subrahmanian

IEEE Trans. Inf. Forensics Secur., 2017

Evaluating the Privacy Implications of Frequent Itemset Disclosure.

Edoardo Serra, Jaideep Vaidya, Haritha Akella, Ashish Sharma

Proceedings of the ICT Systems Security and Privacy Protection, 2017

A Game of Things: Strategic Allocation of Security Resources for IoT.

Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino

Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

Shortfall-Based Optimal Security Provisioning for Internet of Things.

Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios.

Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo

Proceedings of the Computer Security - ESORICS 2017, 2017

2016

Using temporal probabilistic logic for optimal monitoring of security events with limited resources.

Sushil Jajodia, Noseong Park, Edoardo Serra, V. S. Subrahmanian

J. Comput. Secur., 2016

Ensemble Models for Data-driven Prediction of Malware Infections.

Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

ChoiceGAPs: Competitive Diffusion as a Massive Multi-player Game in Social Networks.

Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian

Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Metric Logic Program Explanations for Complex Separator Functions.

Srijan Kumar, Edoardo Serra, Francesca Spezzano, V. S. Subrahmanian

Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Strategic Security Resource Allocation for Internet of Things.

Antonino Rullo, Daniele Midi, Edoardo Serra, Elisa Bertino

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Evaluating the impact of social media in detecting health-violating restaurants.

Mikel Joaristi, Edoardo Serra, Francesca Spezzano

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Multi-Sorted Inverse Frequent Itemsets Mining: On-Going Research.

Domenico Saccà, Edoardo Serra, Antonio Piccolo

Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, 2016

2015

An Effective GPU-Based Approach to Probabilistic Query Confidence Computation.

Edoardo Serra, Francesca Spezzano

IEEE Trans. Knowl. Data Eng., 2015

Pareto-Optimal Adversarial Defense of Enterprise Systems.

Edoardo Serra, Sushil Jajodia, Andrea Pugliese, Antonino Rullo, V. S. Subrahmanian

ACM Trans. Inf. Syst. Secur., 2015

APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine.

Noseong Park, Edoardo Serra, Tom Snitch, V. S. Subrahmanian

IEEE Trans. Comput. Soc. Syst., 2015

Saving Rhinos with Predictive Analytics.

Noseong Park, Edoardo Serra, V. S. Subrahmanian

IEEE Intell. Syst., 2015

2014

A Survey of Quantitative Models of Terror Group Behavior and an Analysis of Strategic Disclosure of Behavioral Models.

Edoardo Serra, V. S. Subrahmanian

IEEE Trans. Comput. Soc. Syst., 2014

Behavior Informatics: A New Perspective.

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

IEEE Intell. Syst., 2014

2013

Extending the power of datalog recursion.

Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo

VLDB J., 2013

A declarative extension of horn clauses, and its significance for datalog and its applications.

Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo

Theory Pract. Log. Program., 2013

Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs.

Antonella Guzzo, Luigi Moccia, Domenico Saccà, Edoardo Serra

ACM Trans. Knowl. Discov. Data, 2013

Multi-Sorted Inverse Frequent Itemsets Mining.

Domenico Saccà, Edoardo Serra, Pietro Dicosta, Antonio Piccolo

CoRR, 2013

Data Posting: a New Frontier for Data Exchange in the Big Data Era.

Domenico Saccà, Edoardo Serra

Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, 2013

A Monotonic Extension for Horn-Clauses and its Significance in Datalog's Renaissance.

Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo

Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, 2013

2012

Count Constraints for Inverse OLAP and Aggregate Data Exchange.

Domenico Saccà, Edoardo Serra, Antonella Guzzo

Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

An Extension of Datalog for Graph Queries.

Mirjana Mazuran, Edoardo Serra, Carlo Zaniolo

Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange.

Domenico Saccà, Edoardo Serra, Antonella Guzzo

Proceedings of the Foundations of Information and Knowledge Systems, 2012

Data Exchange in Datalog Is Mainly a Matter of Choice.

Domenico Saccà, Edoardo Serra

Proceedings of the Datalog in Academia and Industry - Second International Workshop, 2012

2011

A Decomposition Technique for the Inverse Frequent Itemset Mining Problem.

Antonella Guzzo, Luigi Moccia, Domenico Saccà, Edoardo Serra

Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

2009

An Effective Approach to Inverse Frequent Set Mining.

Antonella Guzzo, Domenico Saccà, Edoardo Serra

Proceedings of the ICDM 2009, 2009