文献データベース

Send to which account? Evaluation of an LLM-based Scambaiting System

Authors: Hossein Siadati, Haadi Jafarian, Sima Jafarikhah | Published: 2025-09-10
LLMの安全機構の解除
研究方法論
詐欺対策

Efficient Decoding Methods for Language Models on Encrypted Data

Authors: Matan Avitan, Moran Baruch, Nir Drucker, Itamar Zimerman, Yoav Goldberg | Published: 2025-09-10
HEサンプリング手法
効率性評価
確率分布

Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation

Authors: Duddu Hriday, Aditya Kulkarni, Vivek Balachandran, Tamal Das | Published: 2025-09-10
ウェブサイト脆弱性
フィッシング攻撃の傾向
視覚的類似性検出

An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection

Authors: Haywood Gelman, John D. Hastings, David Kenley | Published: 2025-09-08
プロンプトインジェクション
不均衡データセット
合成データ生成

Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification

Authors: Aivin V. Solatorio | Published: 2025-09-08
ハルシネーション
効率的証明システム
監査手法

Not All Samples Are Equal: Quantifying Instance-level Difficulty in Targeted Data Poisoning

Authors: William Xu, Yiwei Lu, Yihan Wang, Matthew Y. R. Yang, Zuoqiu Liu, Gautam Kamath, Yaoliang Yu | Published: 2025-09-08
ポイズニング
ポイズニング難易度
攻撃手法

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models

Authors: Mohammad Reza Mirbagheri, Mohammad Mahdi Mirkamali, Zahra Motoshaker Arani, Ali Javeri, Amir Mahdi Sadeghzadeh, Rasool Jalili | Published: 2025-09-08
フェアネス学習
プロンプトの検証
安全性

Imitative Membership Inference Attack

Authors: Yuntao Du, Yuetian Chen, Hanshen Xiao, Bruno Ribeiro, Ninghui Li | Published: 2025-09-08
実験的検証
攻撃手法
敵対的学習

When Secure Isn’t: Assessing the Security of Machine Learning Model Sharing

Authors: Gabriele Digregorio, Marco Di Gennaro, Stefano Zanero, Stefano Longari, Michele Carminati | Published: 2025-09-08
ソフトウェアセキュリティ
モデル抽出攻撃
モデル抽出攻撃の検知

LLMs in Cybersecurity: Friend or Foe in the Human Decision Loop?

Authors: Irdin Pekaric, Philipp Zech, Tom Mattson | Published: 2025-09-08
人間とAIの協力
実験設定
専門家の意見収集