Risultati finali
Based on task 41 this deliverable provides a framework for determining key processes and people to enable holistic technology development within this project with emphasis on the social legal and technical limitations and gender and diversity considerations
Kick-off Meeting ReportA summary of kickmeeting of SPATIALT71
Requirements Analysis for AI towards Addressing Security Risks and Threats to System and Network ArchitecturesThis deliverable is based on outcomes of Task 11 as well as Task 15 and will incorporate an initial yet extensive requirements analysis that facilitates AI enabled and secure system architectures
Impact Assessment and Exploitation Interim ReportReport of indicators measures and elements designed and released in SPATIAL Impact Master Plan through the first period of the project T63 and T64
Final Requirements Analysis for AI towards Addressing Security Risks and Threats to System and Network ArchitecturesThis deliverable is based on outcomes of Task 11 as well as Task 15 and will incorporate the final indepth requirements analysis that enables AI enabled and secure system architectures
An explanatory platform that accounts AI systems based on its quantified qualityThis deliverable is based on the outcome of Task 35 which will also contribute to WP4 and WP5 It describes a novel mechanism to leverage Trusted Execution Environments towards making AI accountable This novel mechanism is also scalable with a massive amount of data under strict timing constraints for AI applications
Initial technology transfer and recommendations derived from each pilotTasks involved T51T54 Deliverable will record initial status of all the pilots from the first round completed lessons learned from the integration and experiments performed and provide initial technology transfer and recommendations to AI component design partners from WP1 WP2 and WP3 Also demonstrators will be provided per usecase video live demo executable etc
Automated diagnosis and mechanisms for tuning AI-based systems and Trusted Execution Environments for accountable and resilient AIThis deliverable is based on the outcome of Task 35 which will also contribute to WP4 and WP5 It describes a novel mechanism to leverage Trusted Execution Environments towards making AI accountable This novel mechanism is also scalable with a massive amount of data under strict timing constraints for AI applications
Quality Assurance PlanComposition of quality T73
Process to Integrate Accountability and Resilience Features into AI AlgorithmsThis deliverable is based on the outcome of Task 23 It describes a general process proposed to make existing AI algorithms accountable and resilient The metrics proposed in the deliverable 22 will be used to evaluate the performance of this process
Detection mechanisms to identify data biases and exploratory studies about different data quality trade-offs for AI-based systemsThis deliverable is based on the outcomes of Task 31 and Task 32 It presents an analysis of different AI model behaviors that are obtained when machine learning is trained over distributed and federated infrastructure
Project Management PlanGeneral management framework for SPATIALT72
Security Threats modelling for AI based System ArchitecturesThis deliverable is based on outcomes of Tasks 11 and 12 and will incorporate the results of analysis to identify potential threats to AI based systems and to derive security requirements for countering the identified threats
Field research analysis report and integration action planA publicly available open access and peerreviewed scientific research article which will serve to define process development practices based on tasks 41 and 42
Research Data Management PlanSummary of open access and data management procedure in SPATIALT71
Initial description of the use-cases, design, testbed, experimentation for all the pilotsTasks involved T51T54 Deliverable will set the scene for all the pilots experimental environments including description of the use cases testbed and data used for each and design of experiments per usecase
Robust Accountability Metrics for AI AlgorithmsThis deliverable will provide metrics from T22 to assess 1 quality and usefulness of explanation of AI models 2 tradeoff between AI model utility of and privacy of usersdataowners 3 resilience of models built to ML attacks
Dissemination & communication interim reportReport of indicators measures and elements designed and released to run the dissemination and communication plans through the first period of the project T61 and T62
Existing AI Algorithms and their Accountability and Resilience Features within the Context of Applications to IoT, 5G, and CybersecurityThis deliverable is based on outcomes of Task 21 and will incorporate an analysis of existing AI algorithms and their characteristics related to accountability as well as resilience in the context of applications to IoT 5G and cyber security
SPATIAL Impact Master PlanMaster plan for the dissemination communication and exploitation strategies T62 T63 designed for the project The plan will also provide an overview of the stakeholder base to target T61 as well as a standardization landscape as the basis for further standardization activities in the project T64
Pubblicazioni
Autori:
Diego Perino
,
Kleomenis Katevas
,
Andra Lutu
,
Eduard Marin
,
Nicolas Kourtellis
Pubblicato in:
Communications of the ACM Volume 65 Numero 4April 2022, 2022, ISSN 0001-0782
Editore:
Association for Computing Machinary, Inc.
DOI:
10.1145/3512343
Autori:
Ella Peltonen; Ijaz Ahmad; Atakan Aral; Michele Capobianco; Aaron Yi Ding; Felipe Gil-Castiñeira; Ekaterina Gilman; Erkki Harjula; Marko Jurmu; Teemu Karvonen; Markus Kelanti; Teemu Leppänen; Lauri Lovén; Tommi Mikkonen; Nitinder Mohan; Petteri Nurmi; Susanna Pirttikangas; Paweł Sroka;
Sasu Tarkoma; Tingting Yang
Pubblicato in:
IEEE Access ( Volume: 10), 2022, ISSN 2169-3536
Editore:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2022.3210584
Autori:
Ottun, Abdul-Rasheed, Pramod C. Mane, Zhigang Yin, Souvik Paul, Mohan Liyanage, Jason Pridmore, Aaron Yi Ding, Rajesh Sharma, Petteri Nurmi, and Huber Flores
Pubblicato in:
IEEE Internet Computing Magazine, 2022, ISSN 1089-7801
Editore:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/mic.2022.3219263
Autori:
Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage
Pubblicato in:
Journal of Industrial Information Integration, 2022, ISSN 2452-414X
Editore:
ELSEVIER
DOI:
10.1016/j.jii.2022.100405
Autori:
Sam Comber, Souneil Park , Daniel Arribas-Bel
Pubblicato in:
Cities Volume 127, August 2022, 103733, 2022, ISSN 0264-2751
Editore:
Pergamon Press Ltd.
DOI:
10.1016/j.cities.2022.103733
Autori:
Aaron Yi Ding
,
Ella Peltonen
,
Tobias Meuser
,
Atakan Aral
,
Christian Becker
,
Schahram Dustdar
,
Thomas Hiessl
,
Dieter Kranzlmüller
,
Madhusanka Liyanage
,
Setareh Maghsudi
,
Nitinder Mohan
,
Jörg Ott
,
Jan S. Rellermeyer
,
Stefan Schulte
,
Henning Schulzrinne
,
Gürkan Solmaz
,
Sasu Tarkoma
,
Blesson Varghese
,
Lars Wolf
Pubblicato in:
ACM SIGCOMM Computer Communication Review, Numero Vol. 52, No. 1, 2022, ISSN 0146-4833
Editore:
Association for Computing Machinery
DOI:
10.1145/3523230.3523235
Autori:
Aaron Yi Ding; Marijn Janssen; Jon Crowcroft
Pubblicato in:
2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2022
Editore:
IEEE
DOI:
10.1109/tpsisa52974.2021.00019
Autori:
Wiebke Toussaint Hutiri
,
Aaron Yi Ding
Pubblicato in:
FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, ISBN 978-1-4503-9352-2
Editore:
Association for Computing Machinery
DOI:
10.1145/3531146.3533089
Autori:
Souneil Park
,
Pavol Mulinka
,
Diego Perino
Pubblicato in:
COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), 2022, ISBN 978-1-4503-9347-8
Editore:
COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies
DOI:
10.1145/3530190.3534809
Autori:
Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider
Pubblicato in:
2022
Editore:
31st USENIX Security Symposium, August 2022, Boston, MA, USA
DOI:
10.48550/arxiv.2101.02281
Autori:
Yushan Siriwardhana; Pawani Porambage; Madhusanka Liyanage; Mika Ylianttila
Pubblicato in:
2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2022
Editore:
IEEE
DOI:
10.1109/eucnc/6gsummit54941.2022.9815812
Autori:
Suwani Jayasinghe
Centre for Wireless Communications, University of Oulu, Finland
; Yushan Siriwardhana; Pawani Porambage; Madhusanka Liyanage; Mika Ylianttila
Pubblicato in:
2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2022
Editore:
ieee
DOI:
10.1109/eucnc/6gsummit54941.2022.9815754
Autori:
Wiebke Toussaint Hutiri; Aaron Yi Ding
Pubblicato in:
2022 IEEE International Conference on Services Computing (SCC), 2022
Editore:
IEEE
DOI:
10.1109/scc55611.2022.00043
Autori:
Wiebke Toussaint
,
Akhil Mathur
,
Aaron Yi Ding
,
Fahim Kawsar
Pubblicato in:
SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021, ISBN 978-1-4503-9097-2
Editore:
Association for Computing Machinery
DOI:
10.1145/3485730.3493448
Autori:
Antonio Faonio, Dario Fiore, Luca Nizzardo & Claudio Soriente
Pubblicato in:
Lecture Notes in Computer Science, 2022, ISBN 978-3-030-95311-9
Editore:
Springer, Cham
DOI:
10.1007/978-3-030-95312-6_23
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