Securing Large Language Models (LLMs) from Prompt Injection Attacks
Authors: Omar Farooq Khan Suri, John McCrae | Published: 2025-12-01
防御手法の効果分析
SPEAR++: Scaling Gradient Inversion via Sparsely-Used Dictionary Learning
Authors: Alexander Bakarsky, Dimitar I. Dimitrov, Maximilian Baader, Martin Vechev | Published: 2025-10-28
Untargeted Jailbreak Attack
Authors: Xinzhe Huang, Wenjing Hu, Tianhang Zheng, Kedong Xiu, Xiaojun Jia, Di Wang, Zhan Qin, Kui Ren | Published: 2025-10-03 | Updated: 2025-10-28
PandaGuard: Systematic Evaluation of LLM Safety in the Era of Jailbreaking Attacks
Authors: Guobin Shen, Dongcheng Zhao, Linghao Feng, Xiang He, Jihang Wang, Sicheng Shen, Haibo Tong, Yiting Dong, Jindong Li, Xiang Zheng, Yi Zeng | Published: 2025-05-20
FlowPure: Continuous Normalizing Flows for Adversarial Purification
Authors: Elias Collaert, Abel Rodríguez, Sander Joos, Lieven Desmet, Vera Rimmer | Published: 2025-05-19
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets
Authors: Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang | Published: 2025-04-16
STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models
Authors: Xunguang Wang, Wenxuan Wang, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang | Published: 2025-03-23
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks
Authors: Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri | Published: 2020-04-26
Minimax Defense against Gradient-based Adversarial Attacks
Authors: Blerta Lindqvist, Rauf Izmailov | Published: 2020-02-04
Defending Adversarial Attacks via Semantic Feature Manipulation
Authors: Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen | Published: 2020-02-03 | Updated: 2020-04-22