activity
20212025
most citedOn the Educational Impact of ChatGPT: Is Artificial Intelligence Ready to Obtain a University Degree?

266 citations · 280 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2025

PoS-CoPOR: Proof-of-Stake Consensus Protocol with Native Onion Routing Providing Scalability and DoS-Resistance

Ivan Homoliak, Martin Perešíni, Marek Tamaškovič +3

Proof-of-Stake (PoS) consensus protocols often face a trade-off between performance and security. Protocols that pre-elect leaders for subsequent rounds are vulnerable to Denial-of…

cs.SD2025

SCDF: A Speaker Characteristics DeepFake Speech Dataset for Bias Analysis

Vojtěch Staněk, Karel Srna, Anton Firc +1

Despite growing attention to deepfake speech detection, the aspects of bias and fairness remain underexplored in the speech domain. To address this gap, we introduce the Speaker Ch…

cs.SD2025★ 2 cited

STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution

Anton Firc, Manasi Chhibber, Jagabandhu Mishra +3

A key research area in deepfake speech detection is source tracing - determining the origin of synthesised utterances. The approaches may involve identifying the acoustic model (AM…

cs.CR2024★ 5 cited

Diffuse or Confuse: A Diffusion Deepfake Speech Dataset

Anton Firc, Kamil Malinka, Petr Hanáček

Advancements in artificial intelligence and machine learning have significantly improved synthetic speech generation. This paper explores diffusion models, a novel method for creat…

cs.CR2024★ 2 cited

Using Real-world Bug Bounty Programs in Secure Coding Course: Experience Report

Kamil Malinka, Anton Firc, Pavel Loutocký +3

To keep up with the growing number of cyber-attacks and associated threats, there is an ever-increasing demand for cybersecurity professionals and new methods and technologies. Tra…

cs.CR2024★ 2 cited

Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering

Jakub Res, Ivan Homoliak, Martin Perešíni +3

AI assistants for coding are on the rise. However one of the reasons developers and companies avoid harnessing their full potential is the questionable security of the generated co…

cs.CR2023★ 1 cited

DAG-Sword: A Simulator of Large-Scale Network Topologies for DAG-Oriented Proof-of-Work Blockchains

Martin Perešíni, Tomáš Hladký, Kamil Malinka +1

The blockchain brought interesting properties for many practical applications. However, some properties, such as the transaction processing throughput remained limited, especially…

cs.CR2023★ 1 cited

Incentive Attacks on DAG-Based Blockchains with Random Transaction Selection

Martin Perešíni, Ivan Homoliak, Federico Matteo Benčić +2

Several blockchain consensus protocols proposed to use of Directed Acyclic Graphs (DAGs) to solve the limited processing throughput of traditional single-chain Proof-of-Work (PoW)…

cs.CY2023★ 266 cited

On the Educational Impact of ChatGPT: Is Artificial Intelligence Ready to Obtain a University Degree?

Kamil Malinka, Martin Perešíni, Anton Firc +2

In late 2022, OpenAI released a new version of ChatGPT, a sophisticated natural language processing system capable of holding natural conversations while preserving and responding…

cs.CR2021★ 1 cited

DAG-Oriented Protocols PHANTOM and GHOSTDAG under Incentive Attack via Transaction Selection Strategy

Martin Perešíni, Federico Matteo Benčić, Kamil Malinka +1

In response to the bottleneck of processing throughput inherent to single chain PoW blockchains, several proposals have substituted a single chain for Directed Acyclic Graphs (DAGs…