Artemis: Efficient Commit-and-Prove SNARKs for zkML
Authors: Hidde Lycklama, Alexander Viand, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi | Published: 2024-09-18
フレームワーク
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Authors: Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi Madduri | Published: 2024-09-17
Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments
Authors: Maria Rigaki, Carlos Catania, Sebastian Garcia | Published: 2024-09-17
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection
Authors: Li Yang, Abdallah Shami | Published: 2024-09-05
UIFV: Data Reconstruction Attack in Vertical Federated Learning
Authors: Jirui Yang, Peng Chen, Zhihui Lu, Qiang Duan, Yubing Bao | Published: 2024-06-18 | Updated: 2025-01-14
Practical Performance of a Distributed Processing Framework for Machine-Learning-based NIDS
Authors: Maho Kajiura, Junya Nakamura | Published: 2024-05-20
A Sophisticated Framework for the Accurate Detection of Phishing Websites
Authors: Asif Newaz, Farhan Shahriyar Haq, Nadim Ahmed | Published: 2024-03-13
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism
Authors: Zhiyu Chen, Yu Li, Suochao Zhang, Jingbo Zhou, Jiwen Zhou, Chenfu Bao, Dianhai Yu | Published: 2024-03-12
OverHear: Headphone based Multi-sensor Keystroke Inference
Authors: Raveen Wijewickrama, Maryam Abbasihafshejani, Anindya Maiti, Murtuza Jadliwala | Published: 2023-11-04
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Authors: Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi | Published: 2023-10-17