default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID18th STM 2022: Copenhagen, Denmark
- Gabriele Lenzini
, Weizhi Meng:
Security and Trust Management - 18th International Workshop, STM 2022, Copenhagen, Denmark, September 29, 2022, Proceedings. Lecture Notes in Computer Science 13867, Springer 2023, ISBN 978-3-031-29503-4
Security and Authentication
- Chris Hicks, Vasilios Mavroudis, Jon Crowcroft:
SIMple ID: QR Codes for Authentication Using Basic Mobile Phones in Developing Countries. 3-23 - Yanmin Zhao, Yang Wang, Siu Ming Yiu, Yu Liu, Meiqin Wang:
A Hierarchical Watermarking Scheme for PRFs from Standard Lattice Assumptions. 24-51 - Pascal Oser, Felix Engelmann, Stefan Lüders, Frank Kargl:
Evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices. 52-70 - Johanna Maria Kirss, Peeter Laud, Nikita Snetkov, Jelizaveta Vakarjuk:
Server-Supported Decryption for Mobile Devices. 71-81
Deep Learning for Security and Trust
- Xin Zhou, Rakesh M. Verma:
Software Vulnerability Detection via Multimodal Deep Learning. 85-103 - Giacomo Iadarola, Francesco Mercaldo, Fabio Martinelli, Antonella Santone:
Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps. 104-114
Data Analysis of Security and Trust
- Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye:
M2M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch. 117-135 - Luca Buccioli, Stefano Cristalli, Edoardo Vignati, Lorenzo Nava, Daniele Badagliacca, Danilo Bruschi, Long Lu, Andrea Lanzi:
JChainz: Automatic Detection of Deserialization Vulnerabilities for the Java Language. 136-155 - Pan Wang, Zeyi Li, Xiaokang Zhou, Chunhua Su, Weizheng Wang:
FlowADGAN: Adversarial Learning for Deep Anomaly Network Intrusion Detection. 156-174
Trust and Security
- Marietjie Botes:
The Relevance of Consent in the Digital Age: A Consideration of Its Origins and Its Fit for Digital Application. 177-188 - Fangyi Yu, Miguel Vargas Martin:
HoneyGAN: Creating Indistinguishable Honeywords with Improved Generative Adversarial Networks. 189-198
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-22 19:48 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
