Rethinking Randomized Smoothing from the Perspective of Scalability
Authors: Anupriya Kumari, Devansh Bhardwaj, Sukrit Jindal | Published: 2023-12-19 | Updated: 2024-10-24
Decentralised and collaborative machine learning framework for IoT
Authors: Martín González-Soto, Rebeca P. Díaz-Redondo, Manuel Fernández-Veiga, Bruno Rodríguez-Castro, Ana Fernández-Vilas | Published: 2023-12-19
Towards an in-depth detection of malware using distributed QCNN
Authors: Tony Quertier, Grégoire Barrué | Published: 2023-12-19
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
Authors: Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu | Published: 2023-12-19
Traces of Memorisation in Large Language Models for Code
Authors: Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen | Published: 2023-12-18 | Updated: 2024-01-15
Ensuring Cross-Device Portability of Electromagnetic Side-Channel Analysis
Authors: Lojenaa Navanesana, Nhien-An Le-Khac, Mark Scanlon, Kasun De Zoysa, Asanka P. Sayakkara | Published: 2023-12-18
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Authors: Albin Grataloup, Stefan Jonas, Angela Meyer | Published: 2023-12-18
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
Authors: Keyi Ju, Xiaoqi Qin, Hui Zhong, Xinyue Zhang, Miao Pan, Baoling Liu | Published: 2023-12-18 | Updated: 2024-03-07
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
Authors: Hyunmin Choi, Simon Woo, Hyoungshick Kim | Published: 2023-12-18 | Updated: 2024-04-01
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models
Authors: Aysan Esmradi, Daniel Wankit Yip, Chun Fai Chan | Published: 2023-12-18