首页|Research from Madhyanchal Professional University Broadens Understanding of Machine Learning (A Reinvent Survey on Machine Learning Attacks)
Research from Madhyanchal Professional University Broadens Understanding of Machine Learning (A Reinvent Survey on Machine Learning Attacks)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
New study results on artificial intelligence have been published. According to news reporting originating from Madhyanchal Professional University by NewsRx correspondents, research stated, “The increasing prevalence of machine learning technology highlights the urgent need to delve into its insinuations for safety and confidentiality. While inquiry on the safety aspects of mechanism knowledge has garnered considerable attention, privacy considerations have often taken a backseat, although recent years have seen a significant upswing in privacy-focused research.” Our news editors obtained a quote from the research from Madhyanchal Professional University: “In an effort to contribute to this growing field, we conducted an analysis encompassing more than 40 articles addressing privacy threats in the context of mechanism knowledge, published ended the historical seven centuries. We have contributed to this research by creating a thorough threat architecture and an assault taxonomy. These tools help in categorizing various attacks based on the assets they target and the knowledge adversaries possess. We also conducted an in-depth exploration of the different privacy threats posed by machine learning, shedding light on their mechanisms and implications. Furthermore, our research includes a preliminary investigation into the underlying reasons for privacy breaches in machine learning systems. This aspect delves into the root causes of privacy leaks, shedding light on the factors that make such incidents more likely to occur. In addition to identifying privacy threats and their causes, we have compiled a summary of the most commonly proposed defense mechanisms against these threats. These defences can serve as a resource for organizations and researchers seeking to bolster the privacy of their machine learning systems. Lastly, we recognize that the field of machine learning privacy still faces unanswered questions and developing difficulties.”
Madhyanchal Professional UniversityCyborgsEmerging TechnologiesMachine Learning