Multimodal Safety Is Asymmetric: Cross-Modal Exploits Unlock Black-Box MLLMs Jailbreaks
Authors: Xinkai Wang, Beibei Li, Zerui Shao, Ao Liu, Shouling Ji | Published: 2025-10-20
Exploiting the Potential of Linearity in Automatic Differentiation and Computational Cryptography
Authors: Giulia Giusti | Published: 2025-10-20
QRïS: A Preemptive Novel Method for Quishing Detection Through Structural Features of QR
Authors: Muhammad Wahid Akram, Keshav Sood, Muneeb Ul Hassan | Published: 2025-10-20
SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection
Authors: Yang Feng, Xudong Pan | Published: 2025-10-17 | Updated: 2025-10-21
SoK: Taxonomy and Evaluation of Prompt Security in Large Language Models
Authors: Hanbin Hong, Shuya Feng, Nima Naderloui, Shenao Yan, Jingyu Zhang, Biying Liu, Ali Arastehfard, Heqing Huang, Yuan Hong | Published: 2025-10-17 | Updated: 2025-10-21
OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
Authors: Ahmed Aly, Essam Mansour, Amr Youssef | Published: 2025-10-16 | Updated: 2025-10-20
A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
Authors: Zixuan Liu, Yi Zhao, Zhuotao Liu, Qi Li, Chuanpu Fu, Guangmeng Zhou, Ke Xu | Published: 2025-10-16
Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
Authors: Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon | Published: 2025-10-16
LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
Authors: Bin Liu, Yanjie Zhao, Guoai Xu, Haoyu Wang | Published: 2025-10-16
LLMに対するポイズニング攻撃
本記事では、LLMに対するポイズニング攻撃の最新動向について解説します。LLMに対するポイズニング攻撃の特徴や攻撃方法について概観し、その後主要な防御技術の概要や課題、今後の展望について説明します。