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Cloud-based Platform-agnostic Adversarial aI Defence framework– CPAID

Project description

Cloud-based, platform-agnostic defence framework for AI applications

Malicious actions and adversarial attacks pose significant threats to AI applications and operations, making innovative solutions for AI protection critically necessary. The EU-funded cPAID project aims to research, design, and develop a cloud-based, platform-agnostic defence framework to safeguard AI applications and operations from these attacks. The project will address adversarial attacks such as poisoning and evasion by using AI-based defence methods and ensuring compliance with EU principles for AI ethics. In addition, the project will validate AI system performance in real-life scenarios and promote research to develop certification schemes that certify the robustness, security, privacy, and ethical excellence of AI applications and systems.

Objective

cPAID envisions researching, designing, and developing a cloud-based platform-agnostic defense framework for the holistic protection of AI applications and the overall AI operations of organizations against malicious actions and adversarial attacks. cPAID aims at tackling both poisoning and evasion adversarial attacks by combining AI-based defense methods (e.g. life-long semi-supervised reinforcement learning, transfer learning, feature reduction, adversarial training), security- and privacy-by-design, privacy-preserving, explainable AI (XAI), Generative AI, context-awareness as well as risk and vulnerability assessment and threat intelligence of AI systems. cPAID will identify guidelines to a) guarantee security- and privacy-by-design in the design and development of AI applications, b) thoroughly assess the robustness and resiliency of ML and DL algorithms against adversarial attacks, c) ensure that EU principles for AI ethics have been considered, and d) validate the performance of AI systems in real-life use case scenarios. The identified guidelines aspire to promote research toward developing certification schemes that will certify the robustness, security, privacy, and ethical excellence of AI applications and systems.

Programme(s)

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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

UNISYSTEMS LUXEMBOURG SARL
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.

€ 282 875,00
Address
29, RUE DU PUITS ROMAIN
8070 BERTRANGE
Luxembourg

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Region
Luxembourg Luxembourg Luxembourg
Activity type
Private for-profit entities (excluding 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.

€ 438 875,00

Participants (17)

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