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Robust Recommendation Adversarial Training Based on Self-Purification Data Sanitization

Year: 2025

Type: article

Abstract: The performance of deep recommendation models degrades significantly under data poisoning attacks. While adversarial training methods such as Vulnerability-Aware Training (VAT) enhance robustness by injecting perturbations in... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.073243

Authors: Haiyan Long, Gang Chen, Hai Chen

Institutions: Anhui University, Xiamen University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7114907137

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