HEОбмен на изследователи2024–2027

AIAS · AI-ASsisted cybersecurity platform empowering SMEs to defend against adversarial AI attacks

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2024-01-01 → 2027-12-31
Финансиране от ЕС: 1 564 000 €
Участници: 11
Схема: HORIZON-TMA-MSCA-SE

Линиите свързват координатора с партньорите.

Накратко на български

Защитата на изкуствения интелект от специални атаки, като кражба на модели или подмяна на данни, е основният фокус тук. Това е важно, за да се предотвратят сериозни сривове в критични сектори като здравеопазването и финансите.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Цел на проекта

In recent years, the digital environment and digital transformation of enterprises of all sizes have made AI-based solutions vital to mission-critical. AI-based systems are used in every technical field, including smart cities, self-driving cars, autonomous ships, 5G/6G, and next-generation intrusion detection systems. The industry's significant exploitation of AI systems exposes early adopters to undiscovered vulnerabilities such as data corruption, model theft, and adversarial samples because of their lack of tactical and strategic capabilities to defend, identify, and respond to attacks on their AI-based systems. Adversaries have created a new attack surface to exploit AI-system vulnerabilities, targeting Machine Learning (ML) and Deep Learning (DL) systems to impair their functionality and performance. Adversarial AI is a new threat that might have serious effects in crucial areas like finance and healthcare, where AI is widely used. AIAS project aims to perform in-depth research on adversarial AI to design and develop an innovative AI-based security platform for the protection of AI systems and AI-based operations of organisations, relying on Adversarial AI defence methods (e.g., adversarial training, adversarial AI attack detection), deception mechanisms (e.g., high-interaction honeypots, digital twins, virtual personas) as well as on explainable AI solutions (XAI) that empower security teams to materialise the concept of “AI for Cybersecurity” (i.e., AI/ML-based tools to enhance the detection performance, defence and respond to attacks) and “Cybersecurity for AI” (i.e., protection of AI systems against adversarial AI attacks).

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITY OF PIRAEUS RESEARCH CENTER · PIRAEUSКоординаторГърция
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS · MAROUSSIГърция
BEIA CONSULT INTERNATIONAL SRL · BucurestiРумъния
CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI (CNIT) · ParmaИталия
FOGUS INNOVATIONS & SERVICES P.C. · KAISAIRIANIГърция
K3Y · SOFIAБългария
PDM E FC-PROJECTO DESENVOLVIMENTO MANUTENCAO FORMACAO E CONSULTADORIA SA · LISBOAПортугалия
PDM ESPAÑA PROYECTOS Y SOLUCIONES INFORMATICAS SL · MADRIDИспания
SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED · LimassolКипър
UNIVERSIDAD DE MALAGA · MALAGAИспания
UNIVERSITAT POLITECNICA DE VALENCIA · ValenciaИспания

AIAS · AI-ASsisted cybersecurity platform empowering SMEs to defend against adversarial AI attacks

Накратко на български

Цел на проекта

Участници

Връзки