AI Models Red-Teaming | join seminar with Prof. Przemyslaw Biecek26.09.2023

XAI (explainable artificial intelligence) techniques offer tools for in-depth analysis of predictive models, also in terms of identifying potential vulnerabilities. This is what Prof. Przemyslaw Biecek will talk about during his seminar on October 11. Join us for a lecture entitled ‘Red-Teaming AI models – how and why to use XAI to analyze predictive models.’

Department of Information Security Systems hunting for vulnerabilities20.09.2023

NASK SCIENCE researchers are getting into your home!? Not really, of course, but they’re also concerned about your safety, examining smart home solutions hitting the market. One vulnerability of such a device was recently discovered by us and fixed by the producer.

Ethics and privacy in data analysis using the example of personal health information | join the seminar with Matthias Pocs18.09.2023

How to address the topics of ethics, privacy and personal data in research projects? How to properly incorporate these aspects into data processing and interpretation? What is and should be the interaction between technology development and the legal or ethical dimensions of security and privacy?

What critical vulnerability in a well-known IoT device was found by our researchers? Join us at Hack Summit 202314.09.2023

Marek Janiszewski and Jan Adamski have prepared two speeches for this year’s Hack Summit. Together, they will present more information about a critical vulnerability in the API of one of the manufacturers of popular IoT devices, or present the methodology and conclusions of security testing of IoT devices. It all depends on the status of the CVD process, but we encourage you to attend today!

Join us to create a special issue of ACIG Journal dedicated to the situation in Ukraine14.09.2023

We are looking for authors who will jointly prepare a special issue of the scientific journal published by NASK ACIG Journal entitled “The Russian-Ukrainian War: Effects on Global Cybersecurity and Digital Infrastructure” (Special Issue ACIG vol. 3 no. 1).

Cheetah research and robotics development | Join the seminar by Amir Patel 11.09.2023

What do cheetahs, robotics, artificial intelligence and machine learning have in common? For now, we know that they are linked by an exceptional scientist – Professor Amir Patel from the University of Oxford, who will soon visit NASK with his seminar “Studying Cheetahs Through the Lens of Robotics.” We look forward to your participation!

BotSense 2.0 system awarded in the "State Security Leader - 2023" competition!07.09.2023

BotSense, which has been increasing the cybersecurity level of most banks in Poland for several years, was awarded in the State Security Leader 2023 competition during the International Defense Industry Exhibition in Kielce. The system was created and is being developed in the Mobile Systems Security Department at NASK SCIENCE.

Quantum True Random Number Generator at International Defence Industry Exhibition MSPO01.09.2023

Next week, researchers from the Institute of Optoelectronics of WAT, TELDAT and NASK will showcase a solution using quantum phenomena to generate random numbers. The device, which will be tested at NASK after the exhibition, will make users independent of available software solutions that generate random numbers using algorithms.

Electronic banking "remote desktop" scams tougher thanks to scientists from NASK 24.08.2023Logo systemu Botsens

Currently, one of the most popular methods of attacking an electronic banking user is the so-called remote desktop scam. It involves remote access to the customer’s desktop during bank account operations. An effective solution to detect e-banking sessions carried out using a remote desktop application is a dedicated module of the BotSense system called Remote Checker.

How does Google BARD sing in Polish?14.07.2023

Taking advantage of the opportunity to test the latest large language model called Google BARD and even before its release, our researchers Inez Okulska and Emilia Wiśnios tested how BARD performs in typical generative artificial intelligence tasks.