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

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

AlcaTRAz - Anchored Tree-Rule Defense Against Jailbreaks

Jakub Reš, Petr Kaška, Martin Perešíni +2

Large language models (LLMs) are vulnerable to jailbreak attacks that bypass safety alignment through carefully crafted prompts. Many existing defenses require access to model weig…

cs.CR2026

Tracking the Trend in How Speech Synthesizers Deceive People

Milan Šalko, Anton Firc, Kamil Malinka +4

Advances in speech synthesis have made deepfake audio highly realistic. Earlier studies reported 70-80% human detection accuracy, but relied primarily on older synthesizers. We com…

cs.SD2026

What Do Deepfake Speech Detectors Actually Hear?

Vojtěch Staněk, Veronika Jirmusová, Anton Firc +3

Deepfake speech detectors often output a single score without explaining why an audio sample is flagged, where in the signal the evidence lies, or what cues drive the decision. We…

cs.SD2026

RAT: Reference-Augmented Training for ASV Anti-Spoofing

Vojtěch Staněk, Anton Firc, Jakub Reš +1

We introduce a spoofing countermeasure architecture conditioned on speaker-reference recordings, but observe that it converges to a solution that effectively ignores the reference…

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…