Projects

Identity Wallet in a Hostile Environment: Privacy and Trust By-Design

We search for an answer to the threats facing the European Identity Wallet.

Detection and analysis of Internet scams promoted on social media platforms (SFERA)

In the SFERA project, funded by NCBR's LIDER program, we work on real data from documented cases of online scams. We analyze false advertisements, manipulated statements, and examples of actions by scammers impersonating well-known brands, public figures, and institutions.

Development and pilot implementation of large language models in Polish public administration (HIVE AI)

We support the digitization of Polish public administration using the results of the PLLuM project.

AI-Powered Innovative Toolkit for Cybersecurity Hubs (AIPITCH)

In an international consortium, we are working on artificial intelligence-based tools to support key services of operational teams responsible for cybersecurity.

HATEDEMICS | Hampering hate speech and disinformation

We are using artificial intelligence to fight hate speech and disinformation - we are joing HATEDEMICS

Analysis and detection of synthetic audiovisual materials - deepfake

Deepfake. Technology that reduces the chance of verifying the authenticity of information. It is based on your emotions - fear, sympathy, trust.

Polish Large Language Model (PLLuM)

Innovative Polish large language model for the public and the private sector

StyloMetrix - classification based on interpretable stylometrics

Grammar not only plays a role in language but often holds the meaning of the text within it!

Laboratory for vulnerability testing of desktop and mobile computing devices and algorithms and software (LAVA)

How will AI and ML prevent cybercriminals from organizing acts of cyberterrorism? LAVA can help!

Comprehensive system for early detection and analysis of cybersecurity incidents in IT/OT environments (ARAKIS Enterprise)

The ARAKIS system is derived from honeypot mechanisms, the goal of which is to lure an intruder into a controlled trap and at the same time draw away from strategic elements of an enterprise's IT/OT infrastructure.

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