Enhancing the Security, Privacy and Robustness of AI Models and Systems (SecureAI)

Expected Outcome: Proposals are expected to contribute to one or more of the following: Robust AI models and systems capable of resisting different classes of adversarial manipulation; Innovative defence mechanisms for AI models and systems against new attack families; Methodologies for detecting and mitigating attacks, such as data poisoning, backdoor exploitation and misclassification; AI systems leveraging privacy-enhancing technologies that maintain data confidentiality and regulatory compliance, enabling trusted in-house AI deployments (e.g., for governments and enterprises). Scope: The increasing reliance on AI in cybersecurity, critical infrastructure, and decision-making processes raises concerns about the security and robustness of AI systems. As AI systems become more prevalent, they are increasingly targeted by adversarial attacks that manipulate inputs, compromise training data, or introduce hidden vulnerabilities. This topic aims to strengthen the resilience of AI systems and algorithms against various threats and attacks, such as enhancing their resilience against adversarial attacks, backdoor injections, and data poisoning. Proposals should develop real-time anomaly detection, mitigation techniques to defend against adversarial attacks and robust federated learning techniques, in synergies with leading efforts on AI transparency, and in compliance with the AI Act. The topic is expected to: Develop robust AI models resistant to adversarial attacks. Exploring techniques to harden AI models and systems against adversarial perturbations, such as adversarial training, robust optimisation, and defence mechanisms that enhance the trustworthiness of AI. Improve detection of manipulated or poisoned training data. Advancing methodologies to identify and mitigate compromised datasets, leveraging techniques such as anomaly detection, provenance tracking, and automated data validation mechanisms. Address the concept of Private AI by developing mechanisms that enable AI models to be trained, deployed and operated in privacy-preserving environments, particularly for sensitive use cases, as for example for government and enterprise settings. This includes ensuring AI computations and data remain within trusted execution boundaries (e.g. on-premise or regulated cloud environments), and leveraging existing and emerging privacy-enhancing techniques such as federated learning, secure aggregation, computing on encrypted data, quantum-safe homomorphic encryption and secure inference in deep learning to safeguard the protection of personal and other sensitive data throughout the AI lifecycle.

For guidance and support related to this call, we recommend that you first contact the National Cybersecurity Coordination Centres (NCC) in your country, where available. The Network of NCCs includes one national centre from each of the 27 EU Member States plus Iceland and Norway. You may also address your questions to the ECCC Applicants Direct Contact Centre at applicants@eccc.europa.eu . Online Manual is your guide on the procedures from proposal submission to managing your grant. Horizon Europe Programme Guide contains the detailed guidance to the structure, budget and political priorities of Horizon Europe. Funding & Tenders Portal FAQ – find the answers to most frequently asked questions on submission of proposals, evaluation and grant management. Research Enquiry Service – ask questions about any aspect of European research in general and the EU Research Framework Programmes in particular. National Contact Points (NCPs) – get guidance, practical information and assistance on participation in Horizon Europe. There are also NCPs in many non-EU and non-associated countries (‘third-countries’). Enterprise Europe Network – contact your EEN national contact for advice to businesses with special focus on SMEs. The support includes guidance on the EU research funding. IT Helpdesk – contact the Funding & Tenders Portal IT helpdesk for questions such as forgotten passwords, access rights and roles, technical aspects of submission of proposals, etc. European IPR Helpdesk assists you on intellectual property issues. CEN-CENELEC Research Helpdesk and ETSI Research Helpdesk – the European Standards Organisations advise you how to tackle standardisation in your project proposal. The European Charter for Researchers and the Code of Conduct for their recruitment – consult the general principles and requirements specifying the roles, responsibilities and entitlements of researchers, employers and funders of researchers. Partner Search help you find a partner organisation for your proposal.

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