Robotics & Machine Learning Daily News2024,Issue(Nov.21) :72-73.

Findings on Machine Learning Detailed by Investigators at University of Basque C ountry (Adversarial Attacks In Explainable Machine Learning: a Survey of Threats Against Models and Humans)

大学研究人员详述的机器学习发现巴斯克C国(可解释机器中的对抗攻击学习:对模型和人类威胁的调查

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :72-73.

Findings on Machine Learning Detailed by Investigators at University of Basque C ountry (Adversarial Attacks In Explainable Machine Learning: a Survey of Threats Against Models and Humans)

大学研究人员详述的机器学习发现巴斯克C国(可解释机器中的对抗攻击学习:对模型和人类威胁的调查

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道来自西班牙圣塞巴斯蒂安,由NewsRx记者报道,研究称,“可靠的部署”机器学习模型,如神经网络,由于几个方面的限制,仍然具有挑战性。一些主要的缺点是缺乏可解释性和对对抗性的鲁棒性示例或分配外输入。 ”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from San Sebastian, Spain, by NewsRx correspondents, research stated, “Reliable deploymentof machine learn ing models such as neural networks continues to be challenging due to several li mitations.Some of the main shortcomings are the lack of interpretability and th e lack of robustness against adversarialexamples or out-of-distribution inputs. ”

Key words

San Sebastian/Spain/Europe/Cyborgs/E merging Technologies/Machine Learning/University of Basque Country

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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