Results 11 to 20 of about 882,964 (360)
A Survey on Metaverse: Fundamentals, Security, and Privacy [PDF]
IEEE Communications Surveys and Tutorials, 2022 Metaverse, as an evolving paradigm of the next-generation Internet, aims to build a fully immersive, hyper spatiotemporal, and self-sustaining virtual shared space for humans to play, work, and socialize.
Yuntao Wang +6 more
semanticscholar +1 more source
Multi-step Jailbreaking Privacy Attacks on ChatGPT [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 With the rapid progress of large language models (LLMs), many downstream NLP tasks can be well solved given appropriate prompts. Though model developers and researchers work hard on dialog safety to avoid generating harmful content from LLMs, it is still
Haoran Li +5 more
semanticscholar +1 more source
Knowledge Unlearning for Mitigating Privacy Risks in Language Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Pretrained Language Models (LMs) memorize a vast amount of knowledge during initial pretraining, including information that may violate the privacy of personal lives and identities.
Joel Jang +6 more
semanticscholar +1 more source
Deep Learning with Differential Privacy [PDF]
Conference on Computer and Communications Security, 2016 Machine learning techniques based on neural networks are achieving remarkable results in a wide variety of domains. Often, the training of models requires large, representative datasets, which may be crowdsourced and contain sensitive information.
Martín Abadi +6 more
semanticscholar +1 more source
What Does it Mean for a Language Model to Preserve Privacy? [PDF]
Conference on Fairness, Accountability and Transparency, 2022 Natural language reflects our private lives and identities, making its privacy concerns as broad as those of real life. Language models lack the ability to understand the context and sensitivity of text, and tend to memorize phrases present in their ...
Hannah Brown +4 more
semanticscholar +1 more source
Architectural Histories, 2023 This article argues that much of what we refer to as privacy in present-day society was materialised, experienced, instrumentalised, and also, to some extent, protected before the 19th century, when it was broadly conceptualised as a value and a right ...
Johannes Ljungberg, Natalie P. Körner
doaj +2 more sources
Internet Policy Review, 2019 This contribution provides a short introduction into the conceptual and socio-technical development of privacy. It identifies central issues that inform and structure current debates as well as transformations of privacy spurred by digital technology. In particular, it highlights central ambivalences of privacy between protection and de-politicization ...
Matzner, Tobias, Ochs, Carsten
openaire +3 more sources
Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives
Cybersecurity, 2022 Empirical attacks on Federated Learning (FL) systems indicate that FL is fraught with numerous attack surfaces throughout the FL execution. These attacks can not only cause models to fail in specific tasks, but also infer private information.
Pengrui Liu, Xiangrui Xu, Wei Wang
doaj +1 more source
Jurisprudential and Legal Study of the Relationship between Surrogate Mother and the Child Born of Surrogacy [PDF]
پژوهشنامه حقوق اسلامی, 2013 Using surrogacy as one of the new ways of supporting fertility in away that the owner of the womb (surrogate mother) does not have anycreational relationship (through ovum) with the child, merely raisingthe fetus of another couple and giving birth to it,
Najadali Almasi +2 more
doaj +1 more source
Transparent Privacy is Principled Privacy
Harvard Data Science Review, 2022 In a technical treatment, this article establishes the necessity of transparent privacy for drawing unbiased statistical inference for a wide range of scientific questions. Transparency is a distinct feature enjoyed by differential privacy: the probabilistic mechanism with which the data are privatized can be made public without sabotaging the privacy ...
openaire +3 more sources