DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification
Authors: Jasper Stang, Torsten Krauß, Alexandra Dmitrienko | Published: 2024-03-11
DNN IP保護手法
LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers
Authors: Xuanqi Liu, Zhuotao Liu | Published: 2023-05-28 | Updated: 2023-12-15
Quadratic Functional Encryption for Secure Training in Vertical Federated Learning
Authors: Shuangyi Chen, Anuja Modi, Shweta Agrawal, Ashish Khisti | Published: 2023-05-15 | Updated: 2023-06-19
DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs
Authors: Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi | Published: 2023-05-14 | Updated: 2024-09-10
Privacy-Preserving Prompt Tuning for Large Language Model Services
Authors: Yansong Li, Zhixing Tan, Yang Liu | Published: 2023-05-10 | Updated: 2025-01-10
Differentially Private Attention Computation
Authors: Yeqi Gao, Zhao Song, Xin Yang, Yufa Zhou | Published: 2023-05-08 | Updated: 2024-10-14
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2023-05-04 | Updated: 2024-04-16
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning
Authors: Guangfeng Yan, Tan Li, Kui Wu, Linqi Song | Published: 2023-04-26
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference
Authors: Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel | Published: 2023-04-26
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks
Authors: Isabell Lederer, Rudolf Mayer, Andreas Rauber | Published: 2023-04-22