23 citations · 29 across the 11 of their papers we have counts for
11 papers
From Model to Breach: Towards Actionable LLM-Generated Vulnerabilities Reporting
Cyril Vallez, Alexander Sternfeld, Andrei Kucharavy +1
As the role of Large Language Models (LLM)-based coding assistants in software development becomes more critical, so does the role of the bugs they generate in the overall cybersec…
TypePilot: Leveraging the Scala Type System for Secure LLM-generated Code
Alexander Sternfeld, Andrei Kucharavy, Ljiljana Dolamic
Large language Models (LLMs) have shown remarkable proficiency in code generation tasks across various programming languages. However, their outputs often contain subtle but critic…
Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs
Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David +3
Forecasting transformative technologies remains a critical but challenging task, particularly in fast-evolving domains such as Information and Communication Technologies (ICTs). Tr…
LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts
Henrique Da Silva Gameiro, Andrei Kucharavy, Ljiljana Dolamic
With the emergence of widely available powerful LLMs, disinformation generated by large Language Models (LLMs) has become a major concern. Historically, LLM detectors have been tou…
LLMs Perform Poorly at Concept Extraction in Cyber-security Research Literature
Maxime Würsch, Andrei Kucharavy, Dimitri Percia David +1
The cybersecurity landscape evolves rapidly and poses threats to organizations. To enhance resilience, one needs to track the latest developments and trends in the domain. It has b…
Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning
Andrei Kucharavy, Rachid Guerraoui, Ljiljana Dolamic
Whenever applicable, the Stochastic Gradient Descent (SGD) has shown itself to be unreasonably effective. Instead of underperforming and getting trapped in local minima due to the…