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Enhancing Robustness and Security of Edge AI Systems for Safety-Critical Applications

Objective

The GuardAI project seeks to enhance the security of edge AI systems, addressing their critical vulnerabilities. Emphasis is placed on high-stakes domains, as outlined in the EU’s AI Act, where these systems, including drones, connected and autonomous vehicles, and network edge infrastructure, are becoming widespread and will play a pivotal role in making crucial decisions. These cutting-edge applications heavily rely on real-time decision-making and the processing of sensitive data, rendering them susceptible to various security threats and adversarial attacks. Therefore, the overarching objective of GuardAI is to develop the next generation of resilient AI algorithms tailored for edge applications. Leveraging cutting-edge technological advancements, the project will develop innovative solutions to ensure the integrity, security, and resilience of these systems, fostering trust, and accelerating the safe adoption of AI-driven technologies. A holistic contextual understanding will be integrated, enabling systems to adapt and make informed decisions in dynamic environments. Through a multi-disciplinary and multifaceted approach, by bringing together researchers, industry experts, government agencies, AI practitioners, and advanced threat analysis methods, and robust AI algorithms, GuardAI aspires to create a paradigm shift in AI security. The development of standardized evaluation criteria forges a path to certification frameworks, and real-world insights facilitate a systematic approach to ensuring security-by-design concepts. Embracing a holistic approach, GuardAI also examines ethical considerations in AI technology development to promote ethically sound digital landscapes. Overall, the project will strive to elevate the standards of secure AI systems through cutting-edge advancements and a comprehensive, collaborative approach.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL3-2023-CS-01

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Coordinator

UNIVERSITY OF CYPRUS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 946 587,50
Address
AVENUE PANEPISTIMIOU 2109 AGLANTZI
1678 Nicosia
Cyprus

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Region
Κύπρος Κύπρος Κύπρος
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 946 587,50

Participants (8)

Partners (1)

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