A proposal to increase data utility on Global Differential Privacy data based on data use predictions
This research proposes an innovative method to improve the utility of data protected by Global Differential Privacy…
This research proposes an innovative method to improve the utility of data protected by Global Differential Privacy…
The article discusses a new approach to two-factor authentication (2FA) that uses machine learning to continuously verify…
This article presents a new approach to software-based Proof of Secure Erasure (PoSE) protocols. These protocols are…
The article explores the concept of the Tactile Internet, a paradigm set to revolutionize society by enabling…
This paper presents a systematic study on the cybersecurity effectiveness of blending honeypot computers into production computers….
The study aims to understand how Large Language Models (LLMs) utilize source and reference information in evaluating…
This research focuses on overcoming the language barriers in recommendation systems by using Transformer Leveraged Document Representations…
This research paper explores the use of connectionist techniques in phonetic speech recognition with strong latency constraints….
This article introduces a new methodology for attributed graph clustering, utilizing a dynamic fusion of self-supervised learning…
The paper presents Ada-Retrieval, a new multi-round retrieval paradigm for recommender systems. Unlike traditional single-round models, Ada-Retrieval…