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
Privacy Enhancing Technology
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
Distributed learning optimisation of Cox models can leak patient data: Risks and solutions
Authors: Carsten Brink, Christian Rønn Hansen, Matthew Field, Gareth Price, David Thwaites, Nis Sarup, Uffe Bernchou, Lois Holloway | Published: 2022-04-12
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning
Authors: Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan | Published: 2022-04-05 | Updated: 2022-05-17
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data
Authors: John Lim, Jan-Michael Frahm, Fabian Monrose | Published: 2022-04-05
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning
Authors: Héber H. Arcolezi | Published: 2022-04-02