Showing items with similar title or keywords.

• Taxonomy of generative adversarial networks for digital immunity of Industry 4.0 systems 

  Terziyan, Vagan; Gryshko, Svitlana; Golovianko, Mariia (Elsevier, 2021)

• Adversarial Attack’s Impact on Machine Learning Model in Cyber-Physical Systems 

  Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti (Peregrine Technical Solutions, 2020)

  Deficiency of correctly implemented and robust defence leaves Internet of Things devices vulnerable to cyber threats, such as adversarial attacks. A perpetrator can utilize adversarial examples when attacking Machine ...

• Generative adversarial networks with bio-inspired primary visual cortex for Industry 4.0 

  Branytskyi, Vladyslav; Golovianko, Mariia; Malyk, Diana; Terziyan, Vagan (Elsevier, 2022)

  Biologicalization (biological transformation) is an emerging trend in Industry 4.0 affecting digitization of manufacturing and related processes. It brings up the next generation of manufacturing technology and systems ...

• IoT -based adversarial attack's effect on cloud data platform services in a smart building context 

  Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti (Academic Conferences International, 2020)

  IoT sensors and sensor networks are widely employed in businesses. The common problem is a remarkable number of IoT device transactions are unencrypted. Lack of correctly implemented and robust defense leaves the organization's ...

• Cloning and training collective intelligence with generative adversarial networks 

  Terziyan, Vagan; Gavriushenko, Mariia; Girka, Anastasiia; Gontarenko, Andrii; Kaikova, Olena (John Wiley & Sons, 2021)

  Industry 4.0 and highly automated critical infrastructure can be seen as cyber‐physical‐social systems controlled by the Collective Intelligence. Such systems are essential for the functioning of the society and economy. ...