Sustainable Autonomy and Resilience for LEAs using AI against High priority Threats

Informazioni relative al progetto

STARLIGHT

ID dell’accordo di sovvenzione: 101021797

DOI

10.3030/101021797

Progetto chiuso

Data della firma CE 20 Aprile 2021

Data di avvio 1 Ottobre 2021

Data di completamento 31 Gennaio 2026

Finanziato da

• Secure societies - Protecting freedom and security of Europe and its citizens

Costo totale

€ 18 947 200,63

Contributo UE

€ 17 000 000,00

Coordinato da

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

Communication and dissemination plan - V1

Communication and dissemination plan V1

Communication and dissemination plan - V2
Large-scale, multi-modal awareness raising campaigns - V1
Visibility Design Guide and Materials

Pubblicazioni

Peer reviewed articles (16)

The Development of Law Related to Cybercrime 2021/2022

Autori: Marco Gercke
Pubblicato in: Zeitschrift fuer Urheber- und Medienrecht (ZUM), Numero Numero 12,2022, 2022, ISSN 0177-6762
Editore: NOMOS

Some statistical challenges in automated driving systems

Autori: William N. Caballero; David Rios Insua; Roi Naveiro
Pubblicato in: Crossref, Numero 7, 2023, ISSN 1524-1904
Editore: John Wiley & Sons Inc.
DOI: 10.1002/asmb.2765

A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models

Autori: Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Pubblicato in: Neurocomputing, Numero 653, 2026, Pagina/e 131231, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2025.131231

Manipulating hidden-Markov-model inferences by corrupting batch data

Autori: William N. Caballero, Jose Manuel Camacho, Tahir Ekin, Roi Naveiro
Pubblicato in: Computers & Operations Research, 2024, ISSN 0305-0548
Editore: Pergamon Press Ltd.

Adversarial Machine Learning: Bayesian Perspectives

Autori: David Rios Insua, Roi Naveiro, Victor Gallego, Jason Poulos
Pubblicato in: Journal of the American Statistical Association, 2023, ISSN 0162-1459
Editore: American Statistical Association
DOI: 10.1080/01621459.2023.2183129

A cybersecurity risk analysis framework for systems with artificial intelligence components

Autori: J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua
Pubblicato in: International Transactions in Operational Research, Numero 33, 2026, Pagina/e 798-825, ISSN 0969-6016
Editore: Blackwell Publishing
DOI: 10.1111/itor.70049

Analyzing the European institutional response to ethical and regulatory challenges of artificial intelligence in addressing discriminatory bias

Autori: Pablo Cerezo-Martínez, Alejandro Nicolás-Sánchez, Francisco J. Castro-Toledo
Pubblicato in: Frontiers in Artificial Intelligence, Numero 7, 2024, ISSN 2624-8212
Editore: Frontiers Media SA
DOI: 10.3389/frai.2024.1393259

Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts

Autori: Lam Pham, Dat Ngo, Dusan Salovic, Anahid Jalali, Alexander Schindler, Phu X. Nguyen, Khoa Tran, Hai Canh Vu
Pubblicato in: Applied Acoustics, 2023, ISSN 0003-682X
Editore: Pergamon Press Ltd.

Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity

Autori: Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Pubblicato in: Neurocomputing, Numero 590, 2024, Pagina/e 127759, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2024.127759

Discriminatory bias (and how to prevent it) in the European Union: a review of the ethical and regulatory framework for artificial intelligence.

Autori: Pablo Cerezo Martínez, Alejandro Nicolás-Sánchez, Francisco J. Castro-Toledo
Pubblicato in: OSF, 2025, ISSN 2620-5289
Editore: Center for Open Science
DOI: 10.31219/osf.io/bqu3c

The Development of Law Related to Cybercrime 2020/2021

Autori: Marco Gercke
Pubblicato in: Zeitschrift fuer Urheber- und Medienrecht (ZUM), Numero Numero 11, 2021, 2021, ISSN 0177-6762
Editore: NOMOS

White Hats in Blue? The Ethical Issues of Employing Hackers in Law Enforcement Agencies

Autori: Aleksandra Pawlicka, Marek Pawlicki, Rafał Kozik, Michał Choraś
Pubblicato in: IT Professional, Numero 27, 2025, Pagina/e 57-61, ISSN 1520-9202
Editore: IEEE Computer Society
DOI: 10.1109/mitp.2025.3532789

MSP2P: Multi-Scale Point-based Approach for Optimal Crowd Localization Through Perspective Analysis

Autori: David Redó Nieto
Pubblicato in: Journal of Image and Graphics, Numero 13, 2025, ISSN 2301-3699
Editore: EJournal Publishing
DOI: 10.18178/joig.13.1.115-122

In depth analysis for securing the truth: Addressing the fake news challenge with graph neural networks

Autori: Gracjan Kątek, Rafał Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michał Choraś
Pubblicato in: Neurocomputing, Numero 654, 2025, Pagina/e 131327, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2025.131327

Protecting Classifiers from Attacks

Autori: Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri
Pubblicato in: Statistical Science, Numero 39, 2024, ISSN 0883-4237
Editore: Institute of Mathematical Statistics
DOI: 10.1214/24-sts922

MobilityDL: A Review of Deep Learning From Trajectory Data

Autori: Anita Graser, Anahid Jalali, Jasmin Lambert, Axel Weißenfeld, Krzysztof Janowicz
Pubblicato in: GeoInformatika, 2024, ISSN 1384-6175
Editore: Kluwer Academic Publishers

Conference proceedings (34)

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices

Autori: Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler
Pubblicato in: MMAsia '22: Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022
Editore: Association for Computing Machinery

Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics [preprint]

Autori: Puchalski, Damian; Pawlicki, Marek; Kozik, Rafał; Renk, Rafał; Choraś, Michał
Pubblicato in: Numero 38, 2024
Editore: NA

Towards eXplainable AI for Mobility Data Science

Autori: Anahid Jalali, Anita Graser, Clemens Heistracher
Pubblicato in: LocBigDataAI2023, 2023
Editore: LocBigDataAI2023

THINT: a Deep Learning Framework for Terrorist Threats Identification in Social Media

Autori: Marco San Biagio, Valerio Scarfone, Ernesto La Mattina, Vito Morreale
Pubblicato in: 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET, 2024, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/icecet61485.2024.10698249

LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts

Autori: Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Michael Seidl, Medina Andresel, Alexander Schindler
Pubblicato in: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Numero 39, 2025, Pagina/e 219-224
Editore: Polish Information Processing Society
DOI: 10.15439/2024f5872

Deep Learning Based Multimodal with Two-phase Training

Autori: Lam Pham, Trang Le, Cam Le, Dat Ngo, Weissenfeld Axel, Alexander Schindler
Pubblicato in: Proc. CBMI, 2023
Editore: Proc. CBMI

Deep Learning From Trajectory Data: a Review of Neural Networks and the Trajectory Data Representations to Train Them

Autori: Graser, A., Jalali, A., Lampert, J., Weißenfeld, A., & Janowicz, K
Pubblicato in: Workshop on Big Mobility Data Analysis BMDA2023 in conjunction with EDBT/ICDT 2023, 2023
Editore: NA

Trend Detection in Crime-Related Time Series with Change Point Detection Methods

Autori: Apostolos Konstantinou, Despoina Chatzakou, Ourania Theodosiadou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris
Pubblicato in: 2023
Editore: Springer

Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models

Autori: Cimitan, Ana; Alves Pinto, Ana; Geierhos, Michaela
Pubblicato in: Numero 20, 2024
Editore: ACL Anthology
DOI: 10.5281/zenodo.18174479

Identification of Key Actor Nodes: A Centrality Measure Ranking Aggregation Approach

Autori: Andreas Kosmatopoulos; Kostas Loumponias; Ourania Theodosiadou; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris
Pubblicato in: 2022, ISBN 978-1-6654-5661-6
Editore: IEE

Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis

Autori: Jalali, A., Haslhofer, B., Kriglstein, S., Rauber, A.
Pubblicato in: SAI2023 Computing Conference, 2023
Editore: LNNS

De-identifying Face Image Datasets While Retaining Facial Expressions

Autori: Andreas Josef Leibl, Dr. Andreas Attenberger, Andreas Meißner, Dr. Stefan Altmann, Helmut Mayer
Pubblicato in: 2023
Editore: IEEE

Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity

Autori: Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Pubblicato in: Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems, 2025, Pagina/e 1-7
Editore: ACM
DOI: 10.1145/3665451.3665527

Domain-Aligned Data Augmentation for Low-Resource and Imbalanced Text Classification

Autori: Stylianou, Nikolaos, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis, and Ioannis Kompatsiaris
Pubblicato in: Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2--6, 2023, Proceedings, Part II, 2023, Pagina/e 172--187, ISBN 978-3-031-28238-6
Editore: Springer
DOI: 10.1007/978-3-031-28238-6_12

CLIP-based Few-Shot Multi-Label Classification Methods: A Comparative Study

Autori: Yağmur Çiğdem Aktas, Jorge Garcia Castaño
Pubblicato in: 2025 13th International Symposium on Digital Forensics and Security (ISDFS), 2025, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/isdfs65363.2025.11012107

Zero-Shot Taxonomy Mapping for Document Classification

Autori: Lorenzo Bongiovanni, Giuseppe Rizzo, Luca Bruno, fabrizio Dominici
Pubblicato in: in The 38th ACM/SIGAPP Symposium on Applied Computing, Numero 27 March 2023, 2023
Editore: Association for Computing Machinery

STARLIGHT - Sustainable Autonomy and Resilience for LEAs using AI against High priority Threats

Autori: García J., Pelin R., Van De Crommert P., Touleimat N.
Pubblicato in: Research and Innovation Symposium for European SECURITY and Defense, Numero May, 29th-31th 2023, 2023, Pagina/e 272-275
Editore: Satways Ltd.

Leveraging Continuous Learning for Fighting Misinformation

Autori: Evgenia Adamopoulou, Theodoros Alexakis, Nikolaos Peppes, Emmanouil Daskalakis, Konstantinos Demestichas
Pubblicato in: Security Informatics and Law Enforcement, 2023
Editore: Springer

Federated tool for anonymization and annotation in image data

Autori: Sabina B. van Rooij, Henri Bouma, Jelle van Mil, Johan-Martijn ten Hove
Pubblicato in: Proc. SPIE Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies VI, 2022
Editore: SPIE
DOI: 10.1117/12.2637420

IM-DISCO: Invariant Mining for Detecting IntrusionS in Critical Operations

Autori: Guilherme Saraiva; Filipe Apolinário; Miguel L. Pardal
Pubblicato in: 2024, Pagina/e 42-58, ISBN 978-3-031-54128-5
Editore: Springer Nature Switzerland AG

A Behavior-Based Human Movement Simulator

Autori: Lorena Quesada Ilmert, Ana M. Bernardos, José R. Casar
Pubblicato in: 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud), 2025, Pagina/e 350-357
Editore: IEEE
DOI: 10.1109/ficloud66139.2025.00054

One-shot logo detection for large video datasets and live camera surveillance in criminal investigations,

Autori: Stefanos Demertzis, Sabina B. van Rooij, Michalis Lazaridis, Henri Bouma, Manuel Alvarez Fernandez, Johan-Martijn ten Hove, Rodrigo Sainz Mendez, Petros Daras,
Pubblicato in: Proc. SPIE, Numero vol. 12742, 2023
Editore: Proc. SPIE

Efficient visual information indexation for supporting actionable intelligence and knowledge generation

Autori: Desale Nurye, Yagmur Aktas, Jorge García
Pubblicato in: 2023
Editore: Proc. SPIE

Few-shot multilabel multiclass continuous learning for dark web image categorization

Autori: Yagmur Aktas, Mikel Aramburu, Jorge Garcia-Castaño
Pubblicato in: Artificial Intelligence for Security and Defence Applications II, 2024, Pagina/e 17
Editore: SPIE
DOI: 10.1117/12.3029645

Leveraging Continuous Learning for Fighting Misinformation

Autori: Evgenia Adamopoulou, Theodoros Alexakis, Nikolaos Peppes, Emmanouil Daskalakis, Konstantinos Demestichas
Pubblicato in: Research and Innovation Symposium for European SECURITY and Defense, Numero May, 29th-31th 2023, 2023, Pagina/e 122-124
Editore: Satways Ltd.

Impact Estimation of Emergency Events Using Social Media Streams

Autori: Giacomo Blanco, Edoardo Arnaudo, Dario Salza, Claudio Rossi
Pubblicato in: 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI), Numero 26 August 2022, 2022
Editore: IEEE

Combining and enhancing global and local vision foundation models for explainable tattoo matching

Autori: Sabina B. van Rooij, Michalis Lazaridis, Stefanos Demertzis, Henri Bouma, Petros Daras
Pubblicato in: Artificial Intelligence for Security and Defence Applications III, 2025, Pagina/e 23
Editore: SPIE
DOI: 10.1117/12.3069997

ARGAN-IDS: Adversarial Resistant Intrusion Detection Systems using Generative Adversarial Networks

Autori: João Costa, Filipe Apolinário, Carlos Ribeiro
Pubblicato in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2025, Pagina/e 1-10
Editore: ACM
DOI: 10.1145/3664476.3669928

A ’glocal’ approach for real-time emergency event detection in Twitter

Autori: Dario Salza, Edoardo Arnaudo, Giacomo Blanco, Claudio rossi
Pubblicato in: Social Media for Crisis Management Proceedings of the 19th ISCRAM Conference, 2022
Editore: IEE

RISE SD 2023 Proceedings: STARLIGHT - Sustainable Autonomy and Resilience for LEAs using AI against High Priority Threats

Autori: García, Jorge; Pelin, Roxana; Van De Crommert, Peter; Touleimat, Nizar
Pubblicato in: Numero 9, 2023
Editore: NA
DOI: 10.5281/zenodo.18151809

Light-Weight Deep Learning Models for Acoustic Scene Classification

Autori: Lam Pham, Tin Nguyen, Phat Lam, Dat Ngo, Anahid Jalali, Alexander Schindler
Pubblicato in: Proc.IoS, 2023
Editore: Proc.IoS

Wider or Deeper Neural Network Architecture for Acoustic

Autori: Lam Pham, Khoa Tran, Hieu Tang, Dat Ngo, Son Phan, Alexander Schindler
Pubblicato in: Proc. MMAsia, 2023
Editore: Proc. MMAsia

Augmented probability simulation for adversarial risk analysis in general security.

Autori: Roi Naveiro, David Rios Insua, Jose Manuel Camacho
Pubblicato in: Proceedings of the 12th International Defense and Homeland Security Simulation/ 18th International Multidisciplinary Modeling and Simulation Multiconference, Numero 19-21 September 2022, 2022
Editore: CALTEK

Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis

Autori: Mikołaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafał Kozik, Aleksandra Pawlicka, Michał Choraś
Pubblicato in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2025, Pagina/e 1-8
Editore: ACM
DOI: 10.1145/3664476.3670882

Thesis and dissertations (1)

Context-Aware Feature Vectors in Dark Web Page Classification

Autori: Brinkhuijsen S., Pernisch R., Haspels E.,and van Staalduinen M.
Pubblicato in: BNAIC/BeNeLearn, 2022
Editore: NA

Book chapters (6)

Bias Detection and Mitigation in Textual Data: A Study on Fake News and Hate Speech Detection

Autori: Apostolos Kasampalis, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris
Pubblicato in: Lecture Notes in Computer Science, Advances in Information Retrieval, 2024, Pagina/e 374-383
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56063-7_29

Automated Definition Generation for Online Jargon Analysis

Autori: Helena Björnesjö, Axel Alness Borg, Katie Cohen, Björn Pelzer, Erik Wachtmeister
Pubblicato in: Lecture Notes in Computer Science, Social Networks Analysis and Mining, 2026, Pagina/e 542-558
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-14107-1_43

Selective Word Substitution for Contextualized Data Augmentation

Autori: Kyriaki Pantelidou, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis & Ioannis Kompatsiaris
Pubblicato in: Lecture Notes in Computer Science, 2022, Pagina/e 508-516
Editore: Springer
DOI: 10.1007/978-3-031-08473-7_47

ExpLEA-AIner: Proposition and Development of the Model-Driven Approach to Incorporating Explainable AI in Network Intrusion Detection Systems for Law Enforcement Agencies

Autori: Marek Pawlicki, Aleksandra Pawlicka, Sebastian Szelest, Mikołaj Komisarek, Rafał Kozik, Michał Choraś
Pubblicato in: Lecture Notes in Business Information Processing, Information Systems, 2025, Pagina/e 334-347
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-81325-2_24

Geo-temporal Crime Forecasting Using a Deep Learning Attention-Based Model

Autori: Fabio Caffaro, Lorenzo Bongiovanni, Claudio Rossi
Pubblicato in: Security Informatics and Law Enforcement, Paradigms on Technology Development for Security Practitioners, 2024, Pagina/e 323-329
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-62083-6_26

Leveraging Continuous Learning for Fighting Misinformation

Autori: Evgenia Adamopoulou, Theodoros Alexakis, Nikolaos Peppes, Emmanouil Daskalakis, Konstantinos Demestichas
Pubblicato in: Security Informatics and Law Enforcement, 2024, ISSN 2523-8507
Editore: Springer Nature Switzerland AG