Objective To determine whether a full-scale randomised control trial (RCT) assessing the efficacy and cost-effectiveness of a ...
Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...
Altmetrics have emerged as a complementary tool to traditional citation-based metrics in the assessment of scholarly impact. Unlike traditional metrics that primarily capture academic citations over ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...
Abstract: While recent works have indicated that federated learning (FL) may be vulnerable to poisoning attacks by compromised clients, their real impact on production FL systems is not fully ...