Accepted Papers

The following list includes only the accepted papers of the main conference.

  • Saeedeh Lohrasbi, Mohammad Mamun, Ahmed Yehia, Scott Buffett and Sherif Saad
    Where Cyber Agents Struggle: Bottleneck Analysis of Multi Stage LLM Agents (Short)
  • Sebastian Rehms, Songyang Liu and Florian Tschorsch
    Making Threats Explicit: From Threat Descriptions to Logical Models (Short)
  • Fadi Farhat, Sofiane Aissani, Coulibaly Cheick and Mawloud Omar
    When Direction Is Not Enough: A Geometric Analysis of Robust Aggregation against Federated Learning Backdoor Attacks (Short)
  • César Vieira, João Vitorino, Eva Maia and Isabel Praça
    A Transfer Learning Benchmark to address Distribution Shift in Malware Detection
  • Rodrigo Castro, Eva Maia and Isabel Praça
    From Benchmarks to the Wild: Evaluating the Security of LLM-Generated Python Code
  • Zhiju Yang, Yue Xue and Xiecongyou Yang
    What AI Auditors Miss: Diagnosing and Closing the Gap Between AI and Human Web3 Security Audits
  • Thomas Hoger, Issam Abdeldjalil Ikhelef, Grégory Blanc, Guillaume Doyen and Philippe Owezarski
    Clearing the Fog on 5G Security: An Analysis of the State of the Art, Implementations and Reference Frameworks
  • Arto Niemi and Parsa Sadri Sinaki
    Diversification of Signed and Attested Binaries
  • Jing Wang, Jiahao Liu, Dong Liu and Wanqi Tao
    Construction and Applications of Lattice-based Verifiable Delay Functions (Short)
  • Wail Zellagui, Abdessamad Imine and Yamina Tadjeddine
    Teacher-Student Framework for Fraud-Intent Detection in Cryptocurrency Discussions
  • Zhiju Yang
    Characterizing Security and Privacy Practices of News Websites
  • Alpha Oumar Diallo, Talal Halabi and Mohamed Mejri
    Embedding Explanation Constraints into Model Training to Improve XAI Fidelity in IoT Intrusion Detection
  • Sundiata Keita, Carlos Philips and Prof.Dr Andreas Schaad
    ChainShield: A Hybrid Machine Learning and Rule-Based Framework for Supply Chain Security Detection, Visualization, and Automated Reporting
  • Weicheng Wang, Nischay Gupta, Jie Pan, Piyush Nahar and Gang Li
    MCP-Aware Tool-Call Security for LLM Agents: Schema-Derived Capability Policies Composed with OS Isolation
  • Bassirou Badiane, Valerie Viet Triem Tong and Yufei Han
    From Commands to TTPs: A Deterministic Approach for Large-Scale SSH Botnet Analysis (Short)
  • Maurice Thierry Ndimis Ndimis Toko, Fatemeh Erfan, Martine Bellaiche and Talal Halabi
    Orchestrator-free AI Agent Collaboration using Swarm Intelligence for Multi-stage Attacks Detection in IIoT
  • Nguyen Quang Minh Le, Thanoshan Malavarayar Vijayanandan, Gouri Ginde, Benjamin Tan and Lorenzo De Carli
    On the Security of Agentic Pull Requests in GitHub: An Empirical Study (Short)
  • Tayssir Touili and Olzhas Zhangeldinov
    Precise Android Malware Detection using CARET Model Checking (Short)
  • Derik Pack, Anthony Leclerc, Jordan Hopkins and Mert Pesé
    LLMCluster: Fuzzing Crash Triage using Generative AI
  • Konur Tholl, Francois Rivest, Mariam El-Mezouar, Adrian Taylor and Ranwa Al Mallah
    Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations
  • Seyedehakram Salehi, Fatemeh Erfan and Adel Abusitta
    TASAD: Temporal Adversarial Suppression via Anomaly Detection against Stealthy Backdoor Attacks in Federated Learning
  • Alexandre Carrier, Kéren A. Saint-Hilaire, Rim Ben Salem, Frédéric Cuppens and Nora Boulahia-Cuppens
    An Automated Framework for Generating Realistic Hybrid ABAC Datasets(Short)
  • Oussama El Boujjadia, Fehmi Jaafar and Montassar Ben Messaoud
    Security Patching and GenAI-Driven Refactoring: An Empirical Study of Energy Overhead (Short)
  • Augustin Brenner, Kamel Adi, Khaled Hamouid and Myria Bouhaddi
    Agentic AI for Automated Penetration Testing and Red Teaming
  • Mahmoud Yassin, Mahmoud Abdelhafeez Sayed and Mostafa Taha
    EI-DDLGN: Efficient Encrypted Inference with Deep Differentiable Logic Gate Networks under TFHE
  • Weicheng Wang, Nischay Gupta, Jie Pan, Piyush Nahar and Gang Li
    SecPriv: A Unified Multi-Phase Agent Skill for LLM-Assisted Security and Privacy Code Review
  • Anmol Pandey, Aditya Jain, Liang Chen, Carsten Maple and Christo Panchev
    STELE: Verifiable Non-Selection for Confidential Frontier-Model Evaluation
  • Arshpreet Singh, Mohamad Sadegh Sangari and Atefeh Mashatan
    Security Behaviours in Smart Homes: A Data-Driven Analysis from the User Perspective
  • Leonie Wolf, Robin Leander Schröder, Sebastian Schinzel and Fabian Ising
    Maturity²: Assessing the Maturity of Crypto Agility Maturity Models
  • Savvy Sharma and Paula Branco
    CWE119Bench: Evaluating Label Noise and Class Imbalance in Vulnerability Detection
  • Joshua Guttman, Will Thomas, Logan Schmalz, Adam Petz, Perry Alexander, Paul Rowe and James Carter
    Designing Trustworthy Layered Attestations
  • Kamal Ziadi, Jérémy Dumas, Talal Halabi and Nadia Tawbi
    Optimal Deep Packet Inspection Deployment against Advanced Persistent Threats in Industrial Networks: A Stochastic Game Approach
  • Ruiyang Zhang
    Clean-Trace Poisoning: Deleting Safety Properties from Specification Miners with Individually-Legal Executions
  • Faithful Chiagoziem Onwuegbuche, Anca Jurcut and Liliana Pasquale
    Do Behavioural Images Improve Ransomware Detection? A Systematic Evaluation of Behaviour-to-Image Modelling
  • Ali Sadeghi Jahromi and Jason Jaskolka
    When Visibility Is Not Connectivity: Multi-Plane Measurement of Iran’s 2026 Internet Shutdowns
  • Miguel Silva, Eva Maia, João Vitorino and Isabel Praça
    Realistic Robustness Evaluation of Tabular Data Driven Models
  • Mert Nar
    FACE-EO: A Behavior-Centric Intermediate Representation for Explainable Cybersecurity Analysis