文献データベース

A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response

Authors: Dipo Dunsin, Mohamed C. Ghanem, Karim Ouazzane, Vassil Vassilev | Published: 2023-09-13 | Updated: 2023-12-03
AIとMLの統合
フォレンジックレポート
マルウェア検出手法

Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense

Authors: Jianqiao Wangni | Published: 2023-09-13 | Updated: 2023-09-14
ウォーターマーキング
ポイズニング
深層学習手法

Recovering from Privacy-Preserving Masking with Large Language Models

Authors: Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma, Yutong Pang, Zeeshan Ahmed, Ozlem Kalinli | Published: 2023-09-12 | Updated: 2023-12-14
LLM性能評価
データ保護手法
プライバシー手法

SABLE: Secure And Byzantine robust LEarning

Authors: Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber | Published: 2023-09-11 | Updated: 2023-12-14
ウォーターマーキング
ビザンチン耐性
プライバシー保護手法

FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models

Authors: Dongyu Yao, Jianshu Zhang, Ian G. Harris, Marcel Carlsson | Published: 2023-09-11 | Updated: 2024-04-14
LLMセキュリティ
ウォーターマーキング
プロンプトインジェクション

Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis

Authors: Li Du, Yequan Wang, Xingrun Xing, Yiqun Ya, Xiang Li, Xin Jiang, Xuezhi Fang | Published: 2023-09-11
ハルシネーションの検知
人工知能の役割
生成AI向け電子透かし

Outlier Robust Adversarial Training

Authors: Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu | Published: 2023-09-10
収束特性
損失項
敵対的攻撃

DAD++: Improved Data-free Test Time Adversarial Defense

Authors: Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty | Published: 2023-09-10
敵対的サンプル
敵対的攻撃
防御手法

Classification of Spam URLs Using Machine Learning Approaches

Authors: Omar Husni Odeh, Anas Arram, Murad Njoum | Published: 2023-09-10 | Updated: 2023-12-03
スパム検出
文献リスト
機械学習手法

Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning

Authors: Lijing Zhou, Qingrui Song, Su Zhang, Ziyu Wang, Xianggui Wang, Yong Li | Published: 2023-09-10 | Updated: 2024-03-06
MPCアルゴリズム
多者計算
通信コスト削減