文献データベースでは、AIセキュリティに関する文献情報を分類・集約しています。詳しくは文献データベースについてをご覧ください。
The Literature Database categorizes and aggregates literature related to AI security. For more details, please see About Literature Database.
Understanding the Error Sensitivity of Privacy-Aware Computing
Authors: Matías Mazzanti, Esteban Mocskos, Augusto Vega, Pradip Bose | Published: 2025-06-09
TokenBreak: Bypassing Text Classification Models Through Token Manipulation
Authors: Kasimir Schulz, Kenneth Yeung, Kieran Evans | Published: 2025-06-09
Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption
Authors: Muhammad Ali Najjar, Ren-Yi Huang, Dumindu Samaraweera, Prashant Shekhar | Published: 2025-06-09
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
Authors: Rui Wen, Yiyong Liu, Michael Backes, Yang Zhang | Published: 2025-06-09
Are Trees Really Green? A Detection Approach of IoT Malware Attacks
Authors: Silvia Lucia Sanna, Diego Soi, Davide Maiorca, Giorgio Giacinto | Published: 2025-06-09
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Authors: Jie Bao, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou | Published: 2025-06-09
LLM Unlearning Should Be Form-Independent
Authors: Xiaotian Ye, Mengqi Zhang, Shu Wu | Published: 2025-06-09
“I wasn’t sure if this is indeed a security risk”: Data-driven Understanding of Security Issue Reporting in GitHub Repositories of Open Source npm Packages
Authors: Rajdeep Ghosh, Shiladitya De, Mainack Mondal | Published: 2025-06-09
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems
Authors: Marco Di Gennaro, Giovanni De Lucia, Stefano Longari, Stefano Zanero, Michele Carminati | Published: 2025-06-09
MalGEN: A Generative Agent Framework for Modeling Malicious Software in Cybersecurity
Authors: Bikash Saha, Sandeep Kumar Shukla | Published: 2025-06-09