CORDIS · cPAID

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

Code

cPAID

Programme

HORIZON

Call

Security of robust AI systems HORIZON-CL3-2023-CS-01-03

Status

SIGNED

Period

2024-10-01 – 2027-09-30

Official data · CORDIS · synced 2026-10-17 10:16 · official record

Participants

Description

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.

Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).