Security of robust AI systems
Closed
Status as published by the data source.
Expected Outcome:Projects’ results are expected to contribute to some or all of the following outcomes:
• Security-by-design concept and resilience to adversarial attacks;
• Inclusion of context awareness in machine learning in order to boost resiliency. Scope:Proposals received under this topic will address the security of AI systems, in the line with the following considerations. The availability of very large amounts of data, together with advances in computing capacity, has allowed the development of powerful Artificial Intelligence applications (in particular Machine Learning and Deep Learning). At the same time, concerns have been raised over the security, robustness of the AI algorithms (including AI at the edge), including the risks of adversarial machine learning and data poisoning. Thus, it is important to promote security-compliant AI algorithms, leading to possible certification schemes in the future.
Proposals should demonstrate awareness of the EU approach on Artificial Intelligence[1], such as the proposed Artificial Intelligence Act.
The identification and analysis of potential regulatory aspects and barriers for the developed technologies/solutions is encouraged, where relevant.
[1] A European approach to artificial intelligence: https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence
- Status
- Closed
- Deadline
- (time not stated)
- Opens
- Published
- Total budget
- €15,000,000
- Grant range
- €4,000,000 – €6,000,000
- Country
- European Union (EU-wide)
- Programme
- Horizon Europe (HORIZON)
- Official page
- Open at the source portal
Other calls under Horizon Europe (HORIZON)
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- Advanced TSO control rooms to enhance grid observability, stability and resilience
- Advanced Distribution Management Systems (ADSM) for more efficient and flexible distribution grids
- Community of practice - Data-Driven Decision-Making in Energy
- Industrial processes and equipment for innovative, reliable and scalable tandem technologies (EUPI-PV Partnership)
- Integrated Approaches for Retrofitting Infrastructures with Innovative Energy Storage Technologies
- Demonstration of hydropower technologies for efficient and forward-looking refurbishment of existing hydropower plants
- Delivery of industrial CCUS clusters – Societal Readiness pilot
All calls under this programme
Similar opportunities
- Enhancing the Security, Privacy and Robustness of AI Models and Systems (SecureAI)
- Artificial Intelligence for Cybersecurity applications
- EU Frontier AI Initiative: Developing frontier AI solutions that are safe and computationally efficient within Apply AI (RIA)
- DeepRAP: Deep Reasoning, Abstraction & Planning towards trustworthy Cognitive AI Systems
- Addressing the impact of artificial intelligence, cyberviolence, and deepfakes on equality, democracy and inclusive societies
- International cooperation in AI (IA)
Where this came from
- Source document
- https://ec.europa.eu/info/funding-tenders/opportunities/data/topicDetails/horizon-cl3-2023-cs-01-03.json
- Document fingerprint
9d464837fa4a7244(SHA-256, first 16 hex characters)- Retrieved
- First recorded here
What has changed
- deadline changed from 2023-11-22 to 2023-11-23 on
- url first recorded as https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-cl3-2023-cs-01-03 on
- currency first recorded as EUR on
- amount_max first recorded as 6000000.00 on
- amount_min first recorded as 4000000.00 on
- budget_total first recorded as 15000000.00 on
- deadline first recorded as 2023-11-22 on
- opens_on first recorded as 2023-06-28 on
- published_on first recorded as 2022-12-06 on
- status_basis first recorded as source_status on
- status first recorded as closed on
- title first recorded as Security of robust AI systems on
Data source
© European Union, 2026. Source: EU Funding & Tenders Portal. Reused under Commission Decision 2011/833/EU — CC BY 4.0.
Retrieved from the source on .
The source last updated this document on Fri, 06 Jun 2025 09:54:11 GMT.
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