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ORCID23rd ACNS 2025: Munich, Germany - Part III
- Marc Fischlin
, Veelasha Moonsamy:
Applied Cryptography and Network Security - 23rd International Conference, ACNS 2025, Munich, Germany, June 23-26, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15827, Springer 2025, ISBN 978-3-031-95766-6
Quantum and Post-quantum
- Yimeng He, San Ling, Khai Hanh Tang, Huaxiong Wang:
Everlasting Fully Dynamic Group Signatures. 3-28 - João Pedro Cardoso Barbosa, Gustavo Zambonin, Thaís Bardini Idalino, Ricardo Felipe Custódio:
From ElGamal to Lattice-Based: Enhancing Helios Voting with Quantum-Safe Cryptography. 29-49 - Johannes Wiesböck, Maximiliane Münch, Michael Weiß:
Post-Quantum Cryptography for Linux File System Integrity. 50-79
Biometrics and Authentication
- Fuyi Wang, Jinzhi Ouyang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss, Jianying Zhou:
sf SEBioID: Secure and Efficient Biometric Identification with Two-Party Computation. 83-109 - Florian Dehling, Sebastian Kawelke, Luigi Lo Iacono:
SoK: Continuous Authentication Beyond Error Rates: Reviewing General System Properties. 110-136 - Ruoqi Zhang, Yulin Ni, Peisong Shen, Xue Tian, Yuepeng E:
Cancelable Biometrics Based on Cosine Locality Sensitive Hashing and Grouped Inner Product Transformation for Real-Valued Features. 137-156
Privacy
- Mahdi Rahimi:
PARSAN-Mix: Packet-Aware Routing and Shuffling with Additional Noise for Latency Optimization in Mix Networks. 159-188 - Kunal Mukherjee, Jonathan Yu, Partha De, Dinil Mon Divakaran:
ProvDP: Differential Privacy for System Provenance Dataset. 189-219 - Jasmin Zalonis, Linda Scheu-Hachtel, Frederik Armknecht:
A New Quadratic Noisy Functional Encryption Scheme and Its Application for Privacy Preserving Machine Learning. 220-250 - Jin Shang, Zhengyou Xia:
FNSA: An Adaptive Privacy Protection Model for Trajectory Data. 251-276 - Jinhui Jiao, Zhengyou Xia:
SPPM: A Stackelberg Game-Based Personalized Privacy-Preserving Model in Mobile Crowdsensing Systems. 277-305
Machine Learning
- Leonardo Neumann, Antonio Guimarães, Diego F. Aranha, Edson Borin:
Homomorphic WiSARDs: Efficient Weightless Neural Network Training over Encrypted Data. 309-338 - Yongjie Xu, Guangke Chen, Fu Song, Yuqi Chen:
LaserGuider: A Laser Based Physical Backdoor Attack Against Deep Neural Networks. 339-366 - Donggeun Kwon, Deukjo Hong, Jaechul Sung, Seokhie Hong:
Recovering S-Box Design Structures and Quantifying Distances Between S-Boxes Using Deep Learning. 367-390 - Yulian Sun, Vedant Bonde, Li Duan, Yong Li:
Obfuscation for Deep Neural Networks Against Model Extraction: Attack Taxonomy and Defense Optimization. 391-414
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last updated on 2025-09-13 21:40 CEST by the dblp team
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