AIセキュリティポータルbot

Cyber Defense Reinvented: Large Language Models as Threat Intelligence Copilots

Authors: Xiaoqun Liu, Jiacheng Liang, Qiben Yan, Jiyong Jang, Sicheng Mao, Muchao Ye, Jinyuan Jia, Zhaohan Xi | Published: 2025-02-28 | Updated: 2025-04-16
サイバー脅威インテリジェンス
プロンプトリーキング
モデル抽出攻撃

Models That Are Interpretable But Not Transparent

Authors: Chudi Zhong, Panyu Chen, Cynthia Rudin | Published: 2025-02-26
モデル情報を秘匿しつつ、説明性を提供する手法
情報セキュリティ
攻撃者の行動分析

Evaluating Membership Inference Attacks in heterogeneous-data setups

Authors: Bram van Dartel, Marc Damie, Florian Hahn | Published: 2025-02-26 | Updated: 2025-04-28
データセット生成
プライバシー保護
攻撃タイプ

Can Indirect Prompt Injection Attacks Be Detected and Removed?

Authors: Yulin Chen, Haoran Li, Yuan Sui, Yufei He, Yue Liu, Yangqiu Song, Bryan Hooi | Published: 2025-02-23
プロンプトの検証
悪意のあるプロンプト
攻撃手法

Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents

Authors: Rongwu Xu, Xiaojian Li, Shuo Chen, Wei Xu | Published: 2025-02-17 | Updated: 2025-03-23
インダイレクトプロンプトインジェクション
倫理声明
意思決定ダイナミクス

RLSA-PFL: Robust Lightweight Secure Aggregation with Model Inconsistency Detection in Privacy-Preserving Federated Learning

Authors: Nazatul H. Sultan, Yan Bo, Yansong Gao, Seyit Camtepe, Arash Mahboubi, Hang Thanh Bui, Aufeef Chauhan, Hamed Aboutorab, Michael Bewong, Dineshkumar Singh, Praveen Gauravaram, Rafiqul Islam, Sharif Abuadbba | Published: 2025-02-13 | Updated: 2025-04-16
プライバシー保護プロトコル
性能評価手法
連合学習

RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent

Authors: Cheng Fang, Rishabh Dixit, Waheed U. Bajwa, Mert Gurbuzbalaban | Published: 2025-02-11
MITM攻撃
収束分析

Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs

Authors: Haywood Gelman, John D. Hastings | Published: 2025-02-10 | Updated: 2025-04-07
LLMの応用
リスク分析手法
情報セキュリティ

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study

Authors: Eric Aubinais, Philippe Formont, Pablo Piantanida, Elisabeth Gassiat | Published: 2025-02-10
メンバーシップ推論
量子化とプライバシー

Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs

Authors: Hiroki Watanabe, Motonobu Uchikoshi | Published: 2025-02-10 | Updated: 2025-04-24
アライメント
プライバシー保護データマイニング
透かし