多様性の促進

PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models

Authors: Fengchao Chen, Tingmin Wu, Van Nguyen, Shuo Wang, Alsharif Abuadbba, Carsten Rudolph | Published: 2024-11-18 | Updated: 2025-05-06
LLM性能評価
プロンプトリーキング
多様性の促進

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)

Authors: Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang | Published: 2022-10-07
プライバシー評価
因果解釈
多様性の促進

Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks

Authors: Mahdieh Abbasi, Arezoo Rajabi, Christian Gagne, Rakesh B. Bobba | Published: 2020-05-17
多様性の促進
性能評価指標
敵対的サンプル

Evaluating Ensemble Robustness Against Adversarial Attacks

Authors: George Adam, Romain Speciel | Published: 2020-05-12
ロバスト性向上手法
多様性の促進
敵対的サンプル