| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Emerging information security and applications/ edited by Jun Shao, Sokratis K. Katsikas, Weizhi Meng. |
| Reminder of title: |
4th International Conference, EISA 2023, Hangzhou, China, December 6-7, 2023 : proceedings / |
| remainder title: |
EISA 2023 |
| other author: |
Shao, Jun. |
| corporate name: |
Emerging Information Security and Applications (Symposium) |
| Published: |
Singapore :Springer Nature Singapore : : 2024., |
| Description: |
xii, 185 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
PtbStolen: Pre-trained Encoder Stealing Through Perturbed Samples -- Towards Efficient Universal Adversarial Attack on Audio Classification Models: A Two-step Method -- Privacy-Preserving Authenticated Federated Learning Scheme for Smart Healthcare System -- A Systematic Method for Constructing ICT Supply Chain Security Requirements -- Pairing Compression on Some Elliptic Curves with Subgroups of Embedding Degree 6 and its Applications to Pairing-based Cryptography -- Enhancing Chinese Named Entity Recognition with Disentangled Expert Knowledge -- Deep Neural Network Model over Encrypted Data -- Privacy Protection Mechanism for Fair Federated Learning -- Chinese Named Entity Recognition within the Electric Power Domain -- Adversarial Sampling Attacks and Defense in DNS Data Exfiltration -- CONNECTION: COvert chaNnel NEtwork attaCk Through bIt-rate mOdulatioN. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Data protection - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-981-99-9614-8 |
| ISBN: |
9789819996148 |