Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4
Authors: Bishwas Mandal, George Amariucai, Shuangqing Wei | Published: 2024-04-07
データプライバシー評価
Advances in Differential Privacy and Differentially Private Machine Learning
Authors: Saswat Das, Subhankar Mishra | Published: 2024-04-06
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey
Authors: Yi Xu | Published: 2024-04-01
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
Authors: Anika Hannemann, Jan Ewald, Leo Seeger, Erik Buchmann | Published: 2024-02-22
Bounding Reconstruction Attack Success of Adversaries Without Data Priors
Authors: Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis | Published: 2024-02-20
Auditing Private Prediction
Authors: Karan Chadha, Matthew Jagielski, Nicolas Papernot, Christopher Choquette-Choo, Milad Nasr | Published: 2024-02-14
Utilizing Large LanguageModels to Detect Privacy Leaks in Mini-App Code
Authors: Liming Jiang | Published: 2024-02-12
Systematic Assessment of Tabular Data Synthesis Algorithms
Authors: Yuntao Du, Ninghui Li | Published: 2024-02-09 | Updated: 2024-04-13
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
Authors: Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang, Archana Ahlawat, Anupam Datta, John C Mitchell | Published: 2024-02-07
Local Privacy-preserving Mechanisms and Applications in Machine Learning
Authors: Likun Qin, Tianshuo Qiu | Published: 2024-01-08