Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
Authors: Abdul Mustafa, Muhammad Talha Khan, Muhammad Azmi Umer, Zaki Masood, Chuadhry Mujeeb Ahmed | Published: 2025-05-06
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Towards a standardized methodology and dataset for evaluating LLM-based digital forensic timeline analysis
Authors: Hudan Studiawan, Frank Breitinger, Mark Scanlon | Published: 2025-05-06
Acoustic Side-Channel Attacks on a Computer Mouse
Authors: Mauro Conti, Marin Duroyon, Gabriele Orazi, Gene Tsudik | Published: 2025-05-05
Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
Authors: Xinyi Hou, Jiahao Han, Yanjie Zhao, Haoyu Wang | Published: 2025-05-05
Bayesian Robust Aggregation for Federated Learning
Authors: Aleksandr Karakulev, Usama Zafar, Salman Toor, Prashant Singh | Published: 2025-05-05
Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
Authors: Ghazaleh SHirvani, Saeid Ghasemshirazi | Published: 2025-05-05
Quantum Support Vector Regression for Robust Anomaly Detection
Authors: Kilian Tscharke, Maximilian Wendlinger, Sebastian Issel, Pascal Debus | Published: 2025-05-02 | Updated: 2025-05-13
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
Authors: Leonid Legashev, Artur Zhigalov, Denis Parfenov | Published: 2025-05-01
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
Authors: Yazan Otoum, Arghavan Asad, Amiya Nayak | Published: 2025-05-01
An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
Authors: Xiuwei Shang, Zhenkan Fu, Shaoyin Cheng, Guoqiang Chen, Gangyang Li, Li Hu, Weiming Zhang, Nenghai Yu | Published: 2025-04-30