Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Publications

The Development of Law Related to Cybercrime 2021/2022

Author(s): Marco Gercke
Published in: Zeitschrift fuer Urheber- und Medienrecht (ZUM), Issue Issue 12,2022, 2022, ISSN 0177-6762
Publisher: NOMOS

Some statistical challenges in automated driving systems (opens in new window)

Author(s): William N. Caballero; David Rios Insua; Roi Naveiro
Published in: Crossref, Issue 7, 2023, ISSN 1524-1904
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/asmb.2765

A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models (opens in new window)

Author(s): Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Published in: Neurocomputing, Issue 653, 2026, Page(s) 131231, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/j.neucom.2025.131231

Manipulating hidden-Markov-model inferences by corrupting batch data

Author(s): William N. Caballero, Jose Manuel Camacho, Tahir Ekin, Roi Naveiro
Published in: Computers & Operations Research, 2024, ISSN 0305-0548
Publisher: Pergamon Press Ltd.

Adversarial Machine Learning: Bayesian Perspectives (opens in new window)

Author(s): David Rios Insua, Roi Naveiro, Victor Gallego, Jason Poulos
Published in: Journal of the American Statistical Association, 2023, ISSN 0162-1459
Publisher: American Statistical Association
DOI: 10.1080/01621459.2023.2183129

A cybersecurity risk analysis framework for systems with artificial intelligence components (opens in new window)

Author(s): J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua
Published in: International Transactions in Operational Research, Issue 33, 2026, Page(s) 798-825, ISSN 0969-6016
Publisher: Blackwell Publishing
DOI: 10.1111/itor.70049

Analyzing the European institutional response to ethical and regulatory challenges of artificial intelligence in addressing discriminatory bias (opens in new window)

Author(s): Pablo Cerezo-Martínez, Alejandro Nicolás-Sánchez, Francisco J. Castro-Toledo
Published in: Frontiers in Artificial Intelligence, Issue 7, 2024, ISSN 2624-8212
Publisher: 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

Author(s): Lam Pham, Dat Ngo, Dusan Salovic, Anahid Jalali, Alexander Schindler, Phu X. Nguyen, Khoa Tran, Hai Canh Vu
Published in: Applied Acoustics, 2023, ISSN 0003-682X
Publisher: 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 (opens in new window)

Author(s): Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Published in: Neurocomputing, Issue 590, 2024, Page(s) 127759, ISSN 0925-2312
Publisher: 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. (opens in new window)

Author(s): Pablo Cerezo Martínez, Alejandro Nicolás-Sánchez, Francisco J. Castro-Toledo
Published in: OSF, 2025, ISSN 2620-5289
Publisher: Center for Open Science
DOI: 10.31219/osf.io/bqu3c

The Development of Law Related to Cybercrime 2020/2021

Author(s): Marco Gercke
Published in: Zeitschrift fuer Urheber- und Medienrecht (ZUM), Issue Issue 11, 2021, 2021, ISSN 0177-6762
Publisher: NOMOS

White Hats in Blue? The Ethical Issues of Employing Hackers in Law Enforcement Agencies (opens in new window)

Author(s): Aleksandra Pawlicka, Marek Pawlicki, Rafał Kozik, Michał Choraś
Published in: IT Professional, Issue 27, 2025, Page(s) 57-61, ISSN 1520-9202
Publisher: IEEE Computer Society
DOI: 10.1109/mitp.2025.3532789

MSP2P: Multi-Scale Point-based Approach for Optimal Crowd Localization Through Perspective Analysis (opens in new window)

Author(s): David Redó Nieto
Published in: Journal of Image and Graphics, Issue 13, 2025, ISSN 2301-3699
Publisher: 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 (opens in new window)

Author(s): Gracjan Kątek, Rafał Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michał Choraś
Published in: Neurocomputing, Issue 654, 2025, Page(s) 131327, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/j.neucom.2025.131327

Protecting Classifiers from Attacks (opens in new window)

Author(s): Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri
Published in: Statistical Science, Issue 39, 2024, ISSN 0883-4237
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/24-sts922

MobilityDL: A Review of Deep Learning From Trajectory Data

Author(s): Anita Graser, Anahid Jalali, Jasmin Lambert, Axel Weißenfeld, Krzysztof Janowicz
Published in: GeoInformatika, 2024, ISSN 1384-6175
Publisher: Kluwer Academic Publishers

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

Author(s): Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler
Published in: MMAsia '22: Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022
Publisher: Association for Computing Machinery

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

Author(s): Puchalski, Damian; Pawlicki, Marek; Kozik, Rafał; Renk, Rafał; Choraś, Michał
Published in: Issue 38, 2024
Publisher: NA

Towards eXplainable AI for Mobility Data Science

Author(s): Anahid Jalali, Anita Graser, Clemens Heistracher
Published in: LocBigDataAI2023, 2023
Publisher: LocBigDataAI2023

THINT: a Deep Learning Framework for Terrorist Threats Identification in Social Media (opens in new window)

Author(s): Marco San Biagio, Valerio Scarfone, Ernesto La Mattina, Vito Morreale
Published in: 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET, 2024, Page(s) 1-6
Publisher: 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 (opens in new window)

Author(s): Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Michael Seidl, Medina Andresel, Alexander Schindler
Published in: Annals of Computer Science and Information Systems, Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), Issue 39, 2025, Page(s) 219-224
Publisher: Polish Information Processing Society
DOI: 10.15439/2024f5872

Deep Learning Based Multimodal with Two-phase Training

Author(s): Lam Pham, Trang Le, Cam Le, Dat Ngo, Weissenfeld Axel, Alexander Schindler
Published in: Proc. CBMI, 2023
Publisher: Proc. CBMI

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

Author(s): Graser, A., Jalali, A., Lampert, J., Weißenfeld, A., & Janowicz, K
Published in: Workshop on Big Mobility Data Analysis BMDA2023 in conjunction with EDBT/ICDT 2023, 2023
Publisher: NA

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

Author(s): Apostolos Konstantinou, Despoina Chatzakou, Ourania Theodosiadou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris
Published in: 2023
Publisher: Springer

Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models (opens in new window)

Author(s): Cimitan, Ana; Alves Pinto, Ana; Geierhos, Michaela
Published in: Issue 20, 2024
Publisher: ACL Anthology
DOI: 10.5281/zenodo.18174479

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

Author(s): Andreas Kosmatopoulos; Kostas Loumponias; Ourania Theodosiadou; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris
Published in: 2022, ISBN 978-1-6654-5661-6
Publisher: IEE

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

Author(s): Jalali, A., Haslhofer, B., Kriglstein, S., Rauber, A.
Published in: SAI2023 Computing Conference, 2023
Publisher: LNNS

De-identifying Face Image Datasets While Retaining Facial Expressions

Author(s): Andreas Josef Leibl, Dr. Andreas Attenberger, Andreas Meißner, Dr. Stefan Altmann, Helmut Mayer
Published in: 2023
Publisher: IEEE

Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity (opens in new window)

Author(s): Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Published in: Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems, 2025, Page(s) 1-7
Publisher: ACM
DOI: 10.1145/3665451.3665527

Domain-Aligned Data Augmentation for Low-Resource and Imbalanced Text Classification (opens in new window)

Author(s): Stylianou, Nikolaos, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis, and Ioannis Kompatsiaris
Published in: Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2--6, 2023, Proceedings, Part II, 2023, Page(s) 172--187, ISBN 978-3-031-28238-6
Publisher: Springer
DOI: 10.1007/978-3-031-28238-6_12

CLIP-based Few-Shot Multi-Label Classification Methods: A Comparative Study (opens in new window)

Author(s): Yağmur Çiğdem Aktas, Jorge Garcia Castaño
Published in: 2025 13th International Symposium on Digital Forensics and Security (ISDFS), 2025, Page(s) 1-6
Publisher: IEEE
DOI: 10.1109/isdfs65363.2025.11012107

Zero-Shot Taxonomy Mapping for Document Classification

Author(s): Lorenzo Bongiovanni, Giuseppe Rizzo, Luca Bruno, fabrizio Dominici
Published in: in The 38th ACM/SIGAPP Symposium on Applied Computing, Issue 27 March 2023, 2023
Publisher: Association for Computing Machinery

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

Author(s): García J., Pelin R., Van De Crommert P., Touleimat N.
Published in: Research and Innovation Symposium for European SECURITY and Defense, Issue May, 29th-31th 2023, 2023, Page(s) 272-275
Publisher: Satways Ltd.

Leveraging Continuous Learning for Fighting Misinformation

Author(s): Evgenia Adamopoulou, Theodoros Alexakis, Nikolaos Peppes, Emmanouil Daskalakis, Konstantinos Demestichas
Published in: Security Informatics and Law Enforcement, 2023
Publisher: Springer

Federated tool for anonymization and annotation in image data (opens in new window)

Author(s): Sabina B. van Rooij, Henri Bouma, Jelle van Mil, Johan-Martijn ten Hove
Published in: Proc. SPIE Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies VI, 2022
Publisher: SPIE
DOI: 10.1117/12.2637420

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

Author(s): Guilherme Saraiva; Filipe Apolinário; Miguel L. Pardal
Published in: 2024, Page(s) 42-58, ISBN 978-3-031-54128-5
Publisher: Springer Nature Switzerland AG

A Behavior-Based Human Movement Simulator (opens in new window)

Author(s): Lorena Quesada Ilmert, Ana M. Bernardos, José R. Casar
Published in: 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud), 2025, Page(s) 350-357
Publisher: IEEE
DOI: 10.1109/ficloud66139.2025.00054

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

Author(s): Stefanos Demertzis, Sabina B. van Rooij, Michalis Lazaridis, Henri Bouma, Manuel Alvarez Fernandez, Johan-Martijn ten Hove, Rodrigo Sainz Mendez, Petros Daras,
Published in: Proc. SPIE, Issue vol. 12742, 2023
Publisher: Proc. SPIE

Efficient visual information indexation for supporting actionable intelligence and knowledge generation

Author(s): Desale Nurye, Yagmur Aktas, Jorge García
Published in: 2023
Publisher: Proc. SPIE

Few-shot multilabel multiclass continuous learning for dark web image categorization (opens in new window)

Author(s): Yagmur Aktas, Mikel Aramburu, Jorge Garcia-Castaño
Published in: Artificial Intelligence for Security and Defence Applications II, 2024, Page(s) 17
Publisher: SPIE
DOI: 10.1117/12.3029645

Leveraging Continuous Learning for Fighting Misinformation

Author(s): Evgenia Adamopoulou, Theodoros Alexakis, Nikolaos Peppes, Emmanouil Daskalakis, Konstantinos Demestichas
Published in: Research and Innovation Symposium for European SECURITY and Defense, Issue May, 29th-31th 2023, 2023, Page(s) 122-124
Publisher: Satways Ltd.

Impact Estimation of Emergency Events Using Social Media Streams

Author(s): Giacomo Blanco, Edoardo Arnaudo, Dario Salza, Claudio Rossi
Published in: 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI), Issue 26 August 2022, 2022
Publisher: IEEE

Combining and enhancing global and local vision foundation models for explainable tattoo matching (opens in new window)

Author(s): Sabina B. van Rooij, Michalis Lazaridis, Stefanos Demertzis, Henri Bouma, Petros Daras
Published in: Artificial Intelligence for Security and Defence Applications III, 2025, Page(s) 23
Publisher: SPIE
DOI: 10.1117/12.3069997

ARGAN-IDS: Adversarial Resistant Intrusion Detection Systems using Generative Adversarial Networks (opens in new window)

Author(s): João Costa, Filipe Apolinário, Carlos Ribeiro
Published in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2025, Page(s) 1-10
Publisher: ACM
DOI: 10.1145/3664476.3669928

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

Author(s): Dario Salza, Edoardo Arnaudo, Giacomo Blanco, Claudio rossi
Published in: Social Media for Crisis Management Proceedings of the 19th ISCRAM Conference, 2022
Publisher: IEE

RISE SD 2023 Proceedings: STARLIGHT - Sustainable Autonomy and Resilience for LEAs using AI against High Priority Threats (opens in new window)

Author(s): García, Jorge; Pelin, Roxana; Van De Crommert, Peter; Touleimat, Nizar
Published in: Issue 9, 2023
Publisher: NA
DOI: 10.5281/zenodo.18151809

Light-Weight Deep Learning Models for Acoustic Scene Classification

Author(s): Lam Pham, Tin Nguyen, Phat Lam, Dat Ngo, Anahid Jalali, Alexander Schindler
Published in: Proc.IoS, 2023
Publisher: Proc.IoS

Wider or Deeper Neural Network Architecture for Acoustic

Author(s): Lam Pham, Khoa Tran, Hieu Tang, Dat Ngo, Son Phan, Alexander Schindler
Published in: Proc. MMAsia, 2023
Publisher: Proc. MMAsia

Augmented probability simulation for adversarial risk analysis in general security.

Author(s): Roi Naveiro, David Rios Insua, Jose Manuel Camacho
Published in: Proceedings of the 12th International Defense and Homeland Security Simulation/ 18th International Multidisciplinary Modeling and Simulation Multiconference, Issue 19-21 September 2022, 2022
Publisher: CALTEK

Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis (opens in new window)

Author(s): Mikołaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafał Kozik, Aleksandra Pawlicka, Michał Choraś
Published in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2025, Page(s) 1-8
Publisher: ACM
DOI: 10.1145/3664476.3670882

Context-Aware Feature Vectors in Dark Web Page Classification

Author(s): Brinkhuijsen S., Pernisch R., Haspels E.,and van Staalduinen M.
Published in: BNAIC/BeNeLearn, 2022
Publisher: NA

Bias Detection and Mitigation in Textual Data: A Study on Fake News and Hate Speech Detection (opens in new window)

Author(s): Apostolos Kasampalis, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris
Published in: Lecture Notes in Computer Science, Advances in Information Retrieval, 2024, Page(s) 374-383
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56063-7_29

Automated Definition Generation for Online Jargon Analysis (opens in new window)

Author(s): Helena Björnesjö, Axel Alness Borg, Katie Cohen, Björn Pelzer, Erik Wachtmeister
Published in: Lecture Notes in Computer Science, Social Networks Analysis and Mining, 2026, Page(s) 542-558
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-14107-1_43

Selective Word Substitution for Contextualized Data Augmentation (opens in new window)

Author(s): Kyriaki Pantelidou, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis & Ioannis Kompatsiaris
Published in: Lecture Notes in Computer Science, 2022, Page(s) 508-516
Publisher: 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 (opens in new window)

Author(s): Marek Pawlicki, Aleksandra Pawlicka, Sebastian Szelest, Mikołaj Komisarek, Rafał Kozik, Michał Choraś
Published in: Lecture Notes in Business Information Processing, Information Systems, 2025, Page(s) 334-347
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-81325-2_24

Geo-temporal Crime Forecasting Using a Deep Learning Attention-Based Model (opens in new window)

Author(s): Fabio Caffaro, Lorenzo Bongiovanni, Claudio Rossi
Published in: Security Informatics and Law Enforcement, Paradigms on Technology Development for Security Practitioners, 2024, Page(s) 323-329
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-62083-6_26

Leveraging Continuous Learning for Fighting Misinformation

Author(s): Evgenia Adamopoulou, Theodoros Alexakis, Nikolaos Peppes, Emmanouil Daskalakis, Konstantinos Demestichas
Published in: Security Informatics and Law Enforcement, 2024, ISSN 2523-8507
Publisher: Springer Nature Switzerland AG

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available

My booklet 0 0