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Titlebook: Information Security and Privacy; 29th Australasian Co Tianqing Zhu,Yannan Li Conference proceedings 2024 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 18:58:33 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Information Security and Privacy
副標題29th Australasian Co
編輯Tianqing Zhu,Yannan Li
視頻videohttp://file.papertrans.cn/466/465423/465423.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Information Security and Privacy; 29th Australasian Co Tianqing Zhu,Yannan Li Conference proceedings 2024 The Editor(s) (if applicable) and
描述.This volume constitutes the refereed proceedings of the 29th Australasian Conference, ACISP 2024, held in Sydney, NSW, Australia, during July 15–17, 2024.?..The 70 full papers were carefully reviewed and selected from 232 submission. They are categorized in the following sections: Blockchain Technology,?Privacy Enhancing Technologies,?System Security,?Network Security,?AI Security.?.
出版日期Conference proceedings 2024
關鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-981-97-5101-3
isbn_softcover978-981-97-5100-6
isbn_ebook978-981-97-5101-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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SynBoost: Robust Text Generation Model via?Beam Search and?Synonym-Driven Boostinghe synonym embeddings for these words. Following targeted tuning of synonyms for specific words, the deep learning model trained using this approach maintains strong robustness against other adversarial attacks. Due to the minor embedding adjustments, the model retains high accuracy when processing regular input.
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Understanding Privacy in Smart Speakers: A Narrative Reviewart speakers. Our analysis highlights the intricate landscape of privacy, encompassing its implementation, perception, and action. Notably, current literature often fails to address these dimensions of privacy in a comprehensive manner. Consequently, future research should adopt a holistic perspective on privacy in this rapidly evolving domain.
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0302-9743 ly 15–17, 2024.?..The 70 full papers were carefully reviewed and selected from 232 submission. They are categorized in the following sections: Blockchain Technology,?Privacy Enhancing Technologies,?System Security,?Network Security,?AI Security.?.978-981-97-5100-6978-981-97-5101-3Series ISSN 0302-97
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Conference proceedings 20242024.?..The 70 full papers were carefully reviewed and selected from 232 submission. They are categorized in the following sections: Blockchain Technology,?Privacy Enhancing Technologies,?System Security,?Network Security,?AI Security.?.
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978-981-97-5100-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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