Let the Bees Find the Weak Spots: A Path Planning Perspective on Multi-Turn Jailbreak Attacks against LLMs
Authors: Yize Liu, Yunyun Hou, Aina Sui | Published: 2025-11-05
Automation of Cybersecurity
Cybersecurity threat detection based on a UEBA framework using Deep Autoencoders
Authors: Jose Fuentes, Ines Ortega-Fernandez, Nora M. Villanueva, Marta Sestelo | Published: 2025-05-14 | Updated: 2025-10-30
FTSmartAudit: A Knowledge Distillation-Enhanced Framework for Automated Smart Contract Auditing Using Fine-Tuned LLMs
Authors: Zhiyuan Wei, Jing Sun, Zijian Zhang, Xianhao Zhang, Zhe Hou | Published: 2024-10-17 | Updated: 2025-11-03
Data-Driven Intelligence can Revolutionize Today’s Cybersecurity World: A Position Paper
Authors: Iqbal H. Sarker, Helge Janicke, Leandros Maglaras, Seyit Camtepe | Published: 2023-08-09
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids
Authors: Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary, Giovanni Servedio | Published: 2023-03-28 | Updated: 2024-01-30
Machine Learning and Port Scans: A Systematic Review
Authors: Jason M. Pittman | Published: 2023-01-31
Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence
Authors: Elijah Pelofske, Lorie M. Liebrock, Vincent Urias | Published: 2023-01-27 | Updated: 2024-10-07
Color Teams for Machine Learning Development
Authors: Josh Kalin, David Noever, Matthew Ciolino | Published: 2021-10-20
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods
Authors: Sam Strecker, Rushit Dave, Nyle Siddiqui, Naeem Seliya | Published: 2021-10-15
Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity
Authors: Frank W. Bentrem, Michael A. Corsello, Joshua J. Palm | Published: 2021-04-23 | Updated: 2021-04-27