Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection
Authors: Ziqi Miao, Yi Ding, Lijun Li, Jing Shao | Published: 2025-07-03
Early Signs of Steganographic Capabilities in Frontier LLMs
Authors: Artur Zolkowski, Kei Nishimura-Gasparian, Robert McCarthy, Roland S. Zimmermann, David Lindner | Published: 2025-07-03
CyberRAG: An agentic RAG cyber attack classification and reporting tool
Authors: Francesco Blefari, Cristian Cosentino, Francesco Aurelio Pironti, Angelo Furfaro, Fabrizio Marozzo | Published: 2025-07-03
Evaluating Language Models For Threat Detection in IoT Security Logs
Authors: Jorge J. Tejero-Fernández, Alfonso Sánchez-Macián | Published: 2025-07-03
EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer
Authors: Ranyang Zhou, Abeer Matar A. Almalky, Gamana Aragonda, Sabbir Ahmed, Filip Roth Trønnes-Christensen, Adnan Siraj Rakin, Shaahin Angizi | Published: 2025-07-03
Empowering Manufacturers with Privacy-Preserving AI Tools: A Case Study in Privacy-Preserving Machine Learning to Solve Real-World Problems
Authors: Xiaoyu Ji, Jessica Shorland, Joshua Shank, Pascal Delpe-Brice, Latanya Sweeney, Jan Allebach, Ali Shakouri | Published: 2025-07-02
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training
Authors: Ismail Labiad, Mathurin Videau, Matthieu Kowalski, Marc Schoenauer, Alessandro Leite, Julia Kempe, Olivier Teytaud | Published: 2025-07-02
Graph Representation-based Model Poisoning on Federated LLMs in CyberEdge Networks
Authors: Hanlin Cai, Haofan Dong, Houtianfu Wang, Kai Li, Ozgur B. Akan | Published: 2025-07-02
説明可能なAINew
AIの判断根拠を理解するための技術である説明可能なAI（XAI）に関する概要や関連研究の動向などについて解説します。XAIは、AIモデルがどのように判断や予測を行ったのか、その根拠や理由を人間が理解できる形で説明できるAI技術や仕組みを指します。本記事を読むことで、XAIの概要や研究の最新動向、課題、今後の方向性について理解を深めることができます。
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning
Authors: Masood Jan, Wafa Njima, Xun Zhang | Published: 2025-07-02