As an emerging discipline,machine learning has been widely used in artificial intelligence,education,meteorology and other fields.In the training of machine learning models,trainers need to use a large amount of pract...As an emerging discipline,machine learning has been widely used in artificial intelligence,education,meteorology and other fields.In the training of machine learning models,trainers need to use a large amount of practical data,which inevitably involves user privacy.Besides,by polluting the training data,a malicious adversary can poison the model,thus compromising model security.The data provider hopes that the model trainer can prove to them the confidentiality of the model.Trainer will be required to withdraw data when the trust collapses.In the meantime,trainers hope to forget the injected data to regain security when finding crafted poisoned data after the model training.Therefore,we focus on forgetting systems,the process of which we call machine unlearning,capable of forgetting specific data entirely and efficiently.In this paper,we present the first comprehensive survey of this realm.We summarize and categorize existing machine unlearning methods based on their characteristics and analyze the relation between machine unlearning and relevant fields(e.g.,inference attacks and data poisoning attacks).Finally,we briefly conclude the existing research directions.展开更多
The aim of the article is to explore the relation among capitalism,creative economy,and the end of rest in Gustavo Vinagre’s movie Unlearning to Sleep.The main argument indicates that,in the context of the imperative...The aim of the article is to explore the relation among capitalism,creative economy,and the end of rest in Gustavo Vinagre’s movie Unlearning to Sleep.The main argument indicates that,in the context of the imperatives within the inhumane temporalities of the 24/7 society,sleep and rest may represent an inevitable and anomalous resistance to the demands of the capitalist order in which creative economy is immersed and exposed in the movie.展开更多
The present work corresponds to a reflection about several theories and approaches of the learning and their relevance in the training of social agents,reflection that emerges from the practice of the training,and att...The present work corresponds to a reflection about several theories and approaches of the learning and their relevance in the training of social agents,reflection that emerges from the practice of the training,and attending to the fact that the meaning of what it implies to learn and how it is that is learned is not at the center of the discussion in universities in Latin America,which emphasizes more what to teach rather than how to teach.展开更多
基金supported by the National Key Research and Development Program of China(2020YFC2003404)the National Natura Science Foundation of China(No.62072465,62172155,62102425,62102429)+1 种基金the Science and Technology Innovation Program of Hunan Province(Nos.2022RC3061,2021RC2071)the Natural Science Foundation of Hunan Province(No.2022JJ40564).
文摘As an emerging discipline,machine learning has been widely used in artificial intelligence,education,meteorology and other fields.In the training of machine learning models,trainers need to use a large amount of practical data,which inevitably involves user privacy.Besides,by polluting the training data,a malicious adversary can poison the model,thus compromising model security.The data provider hopes that the model trainer can prove to them the confidentiality of the model.Trainer will be required to withdraw data when the trust collapses.In the meantime,trainers hope to forget the injected data to regain security when finding crafted poisoned data after the model training.Therefore,we focus on forgetting systems,the process of which we call machine unlearning,capable of forgetting specific data entirely and efficiently.In this paper,we present the first comprehensive survey of this realm.We summarize and categorize existing machine unlearning methods based on their characteristics and analyze the relation between machine unlearning and relevant fields(e.g.,inference attacks and data poisoning attacks).Finally,we briefly conclude the existing research directions.
文摘The aim of the article is to explore the relation among capitalism,creative economy,and the end of rest in Gustavo Vinagre’s movie Unlearning to Sleep.The main argument indicates that,in the context of the imperatives within the inhumane temporalities of the 24/7 society,sleep and rest may represent an inevitable and anomalous resistance to the demands of the capitalist order in which creative economy is immersed and exposed in the movie.
文摘The present work corresponds to a reflection about several theories and approaches of the learning and their relevance in the training of social agents,reflection that emerges from the practice of the training,and attending to the fact that the meaning of what it implies to learn and how it is that is learned is not at the center of the discussion in universities in Latin America,which emphasizes more what to teach rather than how to teach.
