Privacy-Aware In-Context Learning for Large Language Models
Authors: Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha | Published: 2025-09-17
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A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
Authors: S M Asif Hossain, Ruksat Khan Shayoni, Mohd Ruhul Ameen, Akif Islam, M. F. Mridha, Jungpil Shin | Published: 2025-09-16 | Updated: 2025-10-01
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Authors: Haneen Najjar, Eyal Ronen, Mahmood Sharif | Published: 2025-09-16
Jailbreaking Large Language Models Through Content Concretization
Authors: Johan Wahréus, Ahmed Hussain, Panos Papadimitratos | Published: 2025-09-16
A Graph-Based Approach to Alert Contextualisation in Security Operations Centres
Authors: Magnus Wiik Eckhoff, Peter Marius Flydal, Siem Peters, Martin Eian, Jonas Halvorsen, Vasileios Mavroeidis, Gudmund Grov | Published: 2025-09-16
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Authors: Zhen Li, Zijian Zhang, Wenjin Yang, Pengbo Wang, Zhaoqi Wang, Meng Li, Yan Wu, Xuyang Liu, Jing Sun, Liehuang Zhu | Published: 2025-09-16
A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
Authors: Jiaao Ma, Ceyu Xu, Lisa Wu Wills | Published: 2025-09-16
A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs
Authors: Kiho Lee, Jungkon Kim, Doowon Kim, Hyoungshick Kim | Published: 2025-09-16
Yet Another Watermark for Large Language Models
Authors: Siyuan Bao, Ying Shi, Zhiguang Yang, Hanzhou Wu, Xinpeng Zhang | Published: 2025-09-16
Time-Constrained Intelligent Adversaries for Automation Vulnerability Testing: A Multi-Robot Patrol Case Study
Authors: James C. Ward, Alex Bott, Connor York, Edmund R. Hunt | Published: 2025-09-15