Data Provenance via Differential Auditing
Authors: Xin Mu, Ming Pang, Feida Zhu | Published: 2022-09-04
Privacy Enhancing Technology
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Authors: Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala | Published: 2022-09-02
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Authors: Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott | Published: 2022-07-19
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Authors: Sofiane Mahiou, Kai Xu, Georgi Ganev | Published: 2022-07-12
Fusion: Efficient and Secure Inference Resilient to Malicious Servers
Authors: Caiqin Dong, Jian Weng, Jia-Nan Liu, Yue Zhang, Yao Tong, Anjia Yang, Yudan Cheng, Shun Hu | Published: 2022-05-06 | Updated: 2023-06-10
Provably Confidential Language Modelling
Authors: Xuandong Zhao, Lei Li, Yu-Xiang Wang | Published: 2022-05-04 | Updated: 2022-06-23
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy
Authors: Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding | Published: 2022-05-03
Towards Privacy-Preserving Neural Architecture Search
Authors: Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss | Published: 2022-04-22
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
Authors: Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu, Umit Cali | Published: 2022-04-16
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
Authors: Weiyan Shi, Ryan Shea, Si Chen, Chiyuan Zhang, Ruoxi Jia, Zhou Yu | Published: 2022-04-15 | Updated: 2022-10-27