文献データベース

AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents

Authors: Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song | Published: 2025-05-09 | Updated: 2025-05-21
インダイレクトプロンプトインジェクション
ファジング
攻撃タイプ

LLM-Text Watermarking based on Lagrange Interpolation

Authors: Jarosław Janas, Paweł Morawiecki, Josef Pieprzyk | Published: 2025-05-09 | Updated: 2025-05-12
LLMセキュリティ
プロンプトリーキング
生成AI向け電子透かし

Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Authors: Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal | Published: 2025-05-08
プロンプトリーキング
攻撃手法
透かし技術

Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Authors: Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal | Published: 2025-05-08
プロンプトリーキング
攻撃手法
透かし技術

FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning

Authors: Zhihao Zeng, Ziquan Fang, Wei Shao, Lu Chen, Yunjun Gao | Published: 2025-05-08
プライバシー設計原則
モデル設計
機械学習技術

A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network

Authors: Haoxiang Luo, Gang Sun, Yinqiu Liu, Dongcheng Zhao, Dusit Niyato, Hongfang Yu, Schahram Dustdar | Published: 2025-05-08
ビザンチン合意メカニズム
モデルDoS
信頼性評価

An Agent-Based Modeling Approach to Free-Text Keyboard Dynamics for Continuous Authentication

Authors: Roberto Dillon, Arushi | Published: 2025-05-08
タイピング行動モデル
ユーザー特性
機械学習の応用

Federated Learning for Cyber Physical Systems: A Comprehensive Survey

Authors: Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara, Sujeeva Setunge, Dinh C. Nguyen, Christopher G. Brinton, David J. Love, H. Vincent Poor | Published: 2025-05-08
分散型FL-CPS
機械学習の応用
連合学習

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Authors: Chetan Pathade | Published: 2025-05-07 | Updated: 2025-05-13
LLMセキュリティ
LLMの安全機構の解除
プロンプトインジェクション

Safeguard-by-Development: A Privacy-Enhanced Development Paradigm for Multi-Agent Collaboration Systems

Authors: Jian Cui, Zichuan Li, Luyi Xing, Xiaojing Liao | Published: 2025-05-07 | Updated: 2025-06-24
プライバシー保護
プライバシー保護フレームワーク
プロンプトインジェクション