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

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 (7)

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

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

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.

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

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 (22)

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

Towards eXplainable AI for Mobility Data Science

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

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

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

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

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

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

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

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

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

Book chapters (2)

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

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