activity
20202026
most citedFundamentals of Generative Large Language Models and Perspectives in Cyber-Defense

23 citations · 73 across the 22 of their papers we have counts for

collaborators

23 papers

cs.CY2026

Building Digital Societies as Ecosystems: How Recognition and Repeat Relationships Sustain Cross-Community Work in Open Source

Lucia Gomez Tejeiro, Thibaut Chataing, Julian Jang-Jaccard +2

We measure cross-boundary collaboration in an open-source software (OSS) ecosystem by reconstructing the bipartite contributor-repository graph of 464 cybersecurity projects and 11…

cs.CL2025

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…

cs.MA2025

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications

Christoph R. Landolt, Christoph Würsch, Roland Meier +2

Multi-Agent Reinforcement Learning (MARL) has shown great potential as an adaptive solution for addressing modern cybersecurity challenges. MARL enables decentralized, adaptive, an…

cs.CY2024

Measuring Technological Convergence in Encryption Technologies with Proximity Indices: A Text Mining and Bibliometric Analysis using OpenAlex

Alessandro Tavazzi, Dimitri Percia David, Julian Jang-Jaccard +1

Identifying technological convergence among emerging technologies in cybersecurity is crucial for advancing science and fostering innovation. Unlike previous studies focusing on th…

q-fin.PR2024

Measuring the performance of investments in information security startups: An empirical analysis by cybersecurity sectors using Crunchbase data

Loïc Maréchal, Alain Mermoud, Dimitri Percia David +1

Early-stage firms play a significant role in driving innovation and creating new products and services, especially for cybersecurity. Therefore, evaluating their performance is cru…

q-fin.GN2024★ 1 cited

Prioritizing Investments in Cybersecurity: Empirical Evidence from an Event Study on the Determinants of Cyberattack Costs

Daniel Celeny, Loïc Maréchal, Evgueni Rousselot +2

Along with the increasing frequency and severity of cyber incidents, understanding their economic implications is paramount. In this context, listed firms' reactions to cyber incid…

cs.CL2023★ 1 cited

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…

cs.CL2023★ 23 cited

Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense

Andrei Kucharavy, Zachary Schillaci, Loïc Maréchal +6

Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users' expectations of i…

cs.CL2023★ 1 cited

A Study of Slang Representation Methods

Aravinda Kolla, Filip Ilievski, Hông-Ân Sandlin +1

Considering the large amount of content created online by the minute, slang-aware automatic tools are critically needed to promote social good, and assist policymakers and moderato…

cs.AI2023★ 2 cited

Case-Based Reasoning with Language Models for Classification of Logical Fallacies

Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin +1

The ease and speed of spreading misinformation and propaganda on the Web motivate the need to develop trustworthy technology for detecting fallacies in natural language arguments.…

cs.CL2022

Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments

Zhivar Sourati, Vishnu Priya Prasanna Venkatesh, Darshan Deshpande +4

The spread of misinformation, propaganda, and flawed argumentation has been amplified in the Internet era. Given the volume of data and the subtlety of identifying violations of ar…

cs.AI2022★ 5 cited

Multimodal and Explainable Internet Meme Classification

Abhinav Kumar Thakur, Filip Ilievski, Hông-Ân Sandlin +4

In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation a…

cs.CY2022★ 1 cited

Beyond S-curves: Recurrent Neural Networks for Technology Forecasting

Alexander Glavackij, Dimitri Percia David, Alain Mermoud +2

Because of the considerable heterogeneity and complexity of the technological landscape, building accurate models to forecast is a challenging endeavor. Due to their high prevalenc…

q-fin.CP2022

TechRank

Anita Mezzetti, Loïc Maréchal, Dimitri Percia David +5

We introduce TechRank, a recursive algorithm based on a bi-partite graph with weighted nodes. We develop TechRank to link companies and technologies based on the method of reflecti…

cs.CR2022

Identifying Emerging Technologies and Leading Companies using Network Dynamics of Patent Clusters: a Cybersecurity Case Study

Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp +2

Strategic decisions rely heavily on non-scientific instrumentation to forecast emerging technologies and leading companies. Instead, we build a fast quantitative system with a smal…

cs.CR2022★ 5 cited

Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing

Juan R. Trocoso-Pastoriza, Alain Mermoud, Romain Bouyé +4

Cyber Threat Intelligence (CTI) sharing is an important activity to reduce information asymmetries between attackers and defenders. However, this activity presents challenges due t…

cs.CR2022★ 2 cited

Efficient Collective Action for Tackling Time-Critical Cybersecurity Threats

Sébastien Gillard, Dimitri Percia David, Alain Mermoud +1

The latency reduction between the discovery of vulnerabilities, the build-up and dissemination of cyber-attacks has put significant pressure on cybersecurity professionals. For tha…

cs.CR2021

TechRank: A Network-Centrality Approach for Informed Cybersecurity-Investment

Anita Mezzetti, Dimitri Percia David, Thomas Maillart +2

The cybersecurity technological landscape is a complex ecosystem in which entities -- such as companies and technologies -- influence each other in a non-trivial manner. Measuring…

cs.IR2021★ 1 cited

From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach

Chi Thang Duong, Dimitri Percia David, Ljiljana Dolamic +3

Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent informati…

cs.CR2021★ 2 cited

Cyber-Security Investment in the Context of Disruptive Technologies: Extension of the Gordon-Loeb Model

Dimitri Percia David, Alain Mermoud, Sébastien Gillard

Cyber-security breaches inflict significant costs on organizations. Hence, the development of an information-systems defense capability through cyber-security investment is a prere…

cs.NI2021★ 16 cited

5G System Security Analysis

Gerrit Holtrup, William Lacube, Dimitri Percia David +3

Fifth generation mobile networks (5G) are currently being deployed by mobile operators around the globe. 5G acts as an enabler for various use cases and also improves the security…

cs.CR2021★ 1 cited

Blockchain in Cyberdefence: A Technology Review from a Swiss Perspective

Luca Gambazzi, Patrick Schaller, Alain Mermoud +1

Since the advent of bitcoin in 2008, the concept of a blockchain has widely spread. Besides crypto currencies and trading activities, there is a wide range of potential application…

cs.CR2020★ 12 cited

Contact Tracing: An Overview of Technologies and Cyber Risks

Franck Legendre, Mathias Humbert, Alain Mermoud +1

The 2020 COVID-19 pandemic has led to a global lockdown with severe health and economical consequences. As a result, authorities around the globe have expressed their needs for bet…