LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
Authors: Noble Saji Mathews, Yelizaveta Brus, Yousra Aafer, Meiyappan Nagappan, Shane McIntosh | Published: 2024-01-02 | Updated: 2024-02-13
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
Authors: Yang Li, Chunhe Xia, Wanshuang Lin, Tianbo Wang | Published: 2024-01-02 | Updated: 2024-01-08
Detection and Defense Against Prominent Attacks on Preconditioned LLM-Integrated Virtual Assistants
Authors: Chun Fai Chan, Daniel Wankit Yip, Aysan Esmradi | Published: 2024-01-02
A Novel Evaluation Framework for Assessing Resilience Against Prompt Injection Attacks in Large Language Models
Authors: Daniel Wankit Yip, Aysan Esmradi, Chun Fai Chan | Published: 2024-01-02
Facebook Report on Privacy of fNIRS data
Authors: Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei | Published: 2024-01-01
Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
Authors: D. Dhinakaran, S. M. Udhaya Sankar, D. Selvaraj, S. Edwin Raja | Published: 2024-01-01
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
Authors: Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang | Published: 2024-01-01
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
Authors: Rachel Redberg, Antti Koskela, Yu-Xiang Wang | Published: 2023-12-31
Opening A Pandora’s Box: Things You Should Know in the Era of Custom GPTs
Authors: Guanhong Tao, Siyuan Cheng, Zhuo Zhang, Junmin Zhu, Guangyu Shen, Xiangyu Zhang | Published: 2023-12-31
Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence
Authors: Siva Raja Sindiramutty | Published: 2023-12-30