First overview of cyberattack techniques by AI against AI

Artificial intelligence
Cyber and electronic warfare
Operations and human factors
31 May 2023

All international trend reports view Artificial Intelligence as the most important disruptive technology of the coming years. Where a new technology develops, new vulnerabilities also arise. And AI is no exception.

Because AI can also be used within the cybersecurity domain to deceive or attack adversaries and their AI systems, knowledge is needed to detect those attacks and to develop defense methods against them. This so-called 'Adversarial AI' is a threat that is developing extremely actively and rapidly, but about which relatively little is known. This also means that more and more products are potentially becoming vulnerable to such attacks.

Making AI more robust against attacks

In the paper 'Adversarial AI in the cyber domain', TNO has provided an overview of the most recent and relevant literature in the rapidly developing field of Adversarial AI within the cybersecurity domain and distilled initial models and overviews for the attack techniques. But this does not apply to defensive measures, where research is, by its very nature, still lagging behind recent developments in the field of attacks.

Therefore, this essential component deserves more attention to make models more robust and resistant to Adversarial AI. This can be done, for example, by training the model on and with malicious examples.

Paper 'Adversarial AI in the cyber domain'

Safe deployment of AI

The imbalance between the attack capabilities on the one hand and the defensive measures on the other must be resolved so that new AI systems can be rolled out securely, especially within vital sectors such as security and defence. This ensures that the possibilities of AI can be realized in a safe way.

With this paper we join the AI discussion on REAIM. During REAIM 2023, the Ministry of Foreign Affairs invited more than 80 countries to exchange knowledge and experience and to take the first steps to reach meaningful agreements on the opportunities and risks of AI in the military domain. This event was an important milestone in promoting global cooperation in this important area.

Get inspired

45 resultaten, getoond 1 t/m 5

System integration for robots in greenhouses


Good collaboration between humans and AI robots in greenhouses is essential. We are working on a semantic explanation and navigation system for improved communication.

AutoAdapt: Self-adaptive machine learning to propel us into the future


Self-adaptation in computing is a concept that might prove to be the missing link in making AI more transparent and accelerating innovation.

Developing moral models for AI systems


It is vital that values such as safety, trust and well-being are integrated in the decision-making process. How far are AI systems that we can trust them?

Desdemona: The ultimate motion simulator


The multi-purpose Desdemona simulator recently installed at TNO will definitely push the limits of movement simulation.

‘Giant AI goes down the European road’

31 March 2023

TNO supports the alarming call of the Future of Life Institute regarding AI. Regulation is urgent and cannot be left solely to the market. Read TNO's response.