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
プライバシー保護技術
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
Privacy-Preserving Aggregation in Federated Learning: A Survey
Authors: Ziyao Liu, Jiale Guo, Wenzhuo Yang, Jiani Fan, Kwok-Yan Lam, Jun Zhao | Published: 2022-03-31 | Updated: 2022-07-13
Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems
Authors: Min Wang, Song Wang, Jiankun Hu | Published: 2022-03-31
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling
Authors: Tiantian Feng, Shrikanth Narayanan | Published: 2022-03-15
A Framework for Verifiable and Auditable Federated Anomaly Detection
Authors: Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri | Published: 2022-03-15
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining
Authors: Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, Bo Li | Published: 2022-03-14