Prediction and Visual Intelligence for Security Information

Leistungen

Predictive Policing – Psycho-sociological Models (Initial Release)

D1.2 Predictive Policing – Psycho-sociological Models (Initial Release) (IfmPt) (M4): Initial report on the deviant behaviours and their characteristics for recognising and predicting abnormal activity

Communication, Dissemination and Standardization Results

D75 Communication Dissemination and Standardization Results UPV M28 Report on the results of the communication dissemination and standardization activities of PREVISION

Predictive Policing – Psycho-sociological Models (Refined Release)

D1.4 Predictive Policing – Psycho-sociological Models (Refined Release) (IfmPt) (M11): Refined report on the deviant behaviours and their characteristics for recognising and predicting abnormal activity

Overall Impact Assessment and Transferability of Results

D65 Overall Impact Assessment and Transferability of Results ENSP M28 Report on the assessment of the PREVISIONs impact and for the successful PREVISION technology transfer and platform deployment to other LEAs outside the PREVISION Consortium

Final Set of Training Courses and Material

D63 Final Set of Training Courses and Material CUING M21 Report on the set of training courses and the material presentations videos document guides serious games exercises etc produced by PREVISION for the training of LEA personnel

Communication Strategy and Dissemination Plan (First Release)

D7.1 Communication Strategy and Dissemination Plan – First Release (UPV) (M2): Comprehensive plan for the communication and dissemination actions of the project

Final Societal, Ethical and Legal Impact Assessment

D83 Final Societal Ethical and Legal Impact Assessment TRIL M28 Report containing the final societal ethical and legal assessment of system components the questionnaires for the partners the proposed mitigation measures and their implementation status and recommendations for the deployment of PREVISIONlike systems

End-user Needs and Use Cases (Initial Release)

D1.1 End-user Needs and Use Cases (Initial Release) (HfoeD) (M3): Report on the use cases as well as the end-user and system requirements that should be covered by the PREVISION Platform

Heterogeneous Data Streams Processing Tools (Initial Release)

D2.1 Heterogeneous Data Streams Processing Tools (Initial Release) (CERTH) (M6): Initial report on the processing tools for the heterogeneous data streams of PREVISION

Improved Operational and Situational Awareness Applications (Initial Release)

D4.1 Improved Operational and Situational Awareness Applications (Initial Release) (ITTI) (M10): Initial report on the improved operational and situational awareness applications of the PREVISION platform

End-user Needs and Use Cases (Refined Release)

D1.3 End-user Needs and Use Cases (Refined Release) (ENSP) (M11): Report on the use cases as well as the end-user and system requirements that should be covered by the PREVISION Platform

Machine Learning and Automation for Crime Prevention and Investigation (Initial Release)

D3.1 Machine Learning & Automation for Crime Prevention and Investigation (Initial Release) (IOSB) (M8): Initial report on the machine learning and automation tools for the PREVISION platform.

Heterogeneous Data Streams Processing Tools (Refined Release)

D22 Heterogeneous Data Streams Processing Tools Refined Release CERTH M20 Refined report on the processing tools for the heterogeneous data streams of PREVISION

Communication Strategy and Dissemination Plan (Second Release)

D72 Communication Strategy and Dissemination Plan Second Release UPV M18 Comprehensive plan for the communication and dissemination actions of the project

Improved Operational and Situational Awareness Applications (Refined Release)

D42 Improved Operational and Situational Awareness Applications Refined Release ITTI M21 Final report on the improved operational and situational awareness applications of the PREVISION platform

Machine Learning and Automation for Crime Prevention and Investigation (Refined Release)

D32 Machine Learning Automation for Crime Prevention and Investigation Refined Release IOSB M20 Final report on the machine learning and automation tools for the PREVISION platform

Interim Societal, Ethical and Legal Impact Assessment

D8.2 Interim Societal, Ethical and Legal Impact Assessment (TRIL) (M12): Report containing the interim societal, ethical and legal assessment of system components, the questionnaires for the partners, the proposed mitigation measures and their implementation status, and recommendations for the deployment of PREVISION-like systems

Veröffentlichungen

MANIS: Evading Malware Detection System on Graph Structure

Autoren: Peng Xu and Bojan Kolosnjaji and C. Eckert and Apostolis Zarra
Veröffentlicht in: Proceedings of the 35th Annual ACM Symposium on Applied Computin, 2020, Seite(n) 1688–1695, ISBN 978-1-4503-6866-7
Herausgeber: ACM Digital Library

ITI-CERTH participation in TRECVID 2020

Autoren: Gkountakos, Konstantinos; Galanopoulos, Damianos; Mpakratsas, Marios; Touska, Despoina; Moumtzidou, Anastasia; Ioannidis, Konstantinos; Gialampoukidis, Ilias; Vrochidis, Stefanos; Mezaris, Vasileios; Kompatsiaris, Ioannis
Veröffentlicht in: 2020 TREC Video Retrieval Evaluation Notebook Papers, Ausgabe 16, 2020
Herausgeber: NIST
DOI: 10.5281/zenodo.4506489

A $10 million question and other cybersecurity-related ethical dilemmas amid the COVID-19 pandemic.

Autoren: Pawlicka, A., Choraś, M., Pawlicki, M., & Kozik, R.
Veröffentlicht in: Business Horizons, Ausgabe 64(6), 2021, Seite(n) 729-734, ISSN 0007-6813
Herausgeber: Elsevier

Prediction and visual intelligence for security information: The PREVISION H2020 project

Autoren: Konstantinos Demestichas; Thi Bich Ngoc Hoang; Josiane Mothe; Olivier Teste; Md Zia Ullah
Veröffentlicht in: HAL, Ausgabe 2, 2020
Herausgeber: CEUR-WS

Crowd Violence Detection from Video Footage

Autoren: Gkountakos, Konstantinos; Ioannidis, Konstantinos; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis
Veröffentlicht in: Crossref, Ausgabe 15, 2021, Seite(n) 1-4, ISBN 978-1-6654-4220-6
Herausgeber: IEEE
DOI: 10.5281/zenodo.4707134

Aggression Identification in Posts - two machine learning approaches

Autoren: Ramiandrisoa, Faneva
Veröffentlicht in: https://hal.archives-ouvertes.fr/hal-03116190, Ausgabe 6, 2020, Seite(n) 40-49
Herausgeber: CEUR

IRIT-PREVISION AT HASOC 2020 : Fine-tuning BERT for Hate Speech and Offensive Content Identification

Autoren: Mothe, Josiane; Parikh, Pratik; Ramiandrisoa, Faneva
Veröffentlicht in: Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC@FIRE 2020), Dec 2020, Hyderabad (virtual), India, Ausgabe 6, 2020
Herausgeber: CEUR

Prediction and Visual Intelligence Platform for Detection of Irregularities and Abnormal Behaviour

Autoren: Konstantinos Demestichas, Theodoros Alexakis, Nikolaos Peppes, Konstantina Remoundou, Ioannis Loumiotis, Wilmuth Muller, Konstantinos Avgerinakis
Veröffentlicht in: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020 (TWSDetection), Toulouse, 2020
Herausgeber: CEUR-WS.org

An ML Model for Predicting Information Check-Worthiness using a Variety of Features

Autoren: Md Zia Ullah
Veröffentlicht in: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020, 2020
Herausgeber: ceur-ws.org

User Identity Linkage in Social Media Using Linguistic and Social Interaction Features

Autoren: Despoina Chatzakou, Juan Soler-Company, Theodora Tsikrika, Leo Wanner, Stefanos Vrochidis, Ioannis Kompatsiaris
Veröffentlicht in: 12th ACM Conference on Web Science, 2020, Seite(n) 295-304, ISBN 9781450379892
Herausgeber: ACM
DOI: 10.1145/3394231.3397920

Aggression Identification in Posts - two machine learning approache

Autoren: Faneva Ramiandrisoa
Veröffentlicht in: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020, 2020
Herausgeber: ceur-ws.org

Topical Community Detection: an Embedding User and Content Similarity Method

Autoren: Thi Bich Ngoc Hoang
Veröffentlicht in: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020 (TWSDetection), Toulouse, 2020
Herausgeber: ceur-ws.org

Ethical and legal challenges of machine learning for trend and weak signal detection in social networks: an overview

Autoren: Zuzanna Warso
Veröffentlicht in: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020, 2020
Herausgeber: ceur-ws.org

Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project.

Autoren: Demestichas, K., Hoang, T. B. N., Mothe, J., Teste, O., & Ullah, M. Z.
Veröffentlicht in: CIRCLE, Ausgabe Vol 2621, 2020
Herausgeber: CEUR

Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020

Autoren: Mothe, J., & Hoang, T. B. N.
Veröffentlicht in: CEUR, Ausgabe Vol. 2606, 2020
Herausgeber: CEUR

An Advanced Abnormal Behavior Detection Engine Embedding Autoencoders for the Investigation of Financial Transactions

Autoren: Konstantinos Demestichas, Nikolaos Peppes, Theodoros Alexakis, Evgenia Adamopoulou
Veröffentlicht in: Information, Ausgabe 12/1, 2021, Seite(n) 34, ISSN 2078-2489
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12010034

Can Today’s Machine Learning Pass Image-Based Turing Tests?

Autoren: Apostolis Zarras, Ilias Gerostathopoulos, Daniel Méndez Fernández
Veröffentlicht in: Information Security - 22nd International Conference, ISC 2019, New York City, NY, USA, September 16–18, 2019, Proceedings, Ausgabe 11723, 2019, Seite(n) 129-148, ISBN 978-3-030-30214-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-30215-3_7

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