Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
Authors: Joshua Ward, Chi-Hua Wang, Guang Cheng | Published: 2024-06-18
Data Privacy Assessment
UIFV: Data Reconstruction Attack in Vertical Federated Learning
Authors: Jirui Yang, Peng Chen, Zhihui Lu, Qiang Duan, Yubing Bao | Published: 2024-06-18 | Updated: 2025-01-14
Noise-Aware Differentially Private Regression via Meta-Learning
Authors: Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner | Published: 2024-06-12 | Updated: 2025-05-08
LLM Dataset Inference: Did you train on my dataset?
Authors: Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic | Published: 2024-06-10
Concept Drift Detection using Ensemble of Integrally Private Models
Authors: Ayush K. Varshney, Vicenc Torra | Published: 2024-06-07
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Authors: Weijun Li, Qiongkai Xu, Mark Dras | Published: 2024-06-03 | Updated: 2024-10-04
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
Authors: Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal | Published: 2024-06-02 | Updated: 2025-03-31
Robust Kernel Hypothesis Testing under Data Corruption
Authors: Antonin Schrab, Ilmun Kim | Published: 2024-05-30
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
Authors: Tudor Cebere, Aurélien Bellet, Nicolas Papernot | Published: 2024-05-23 | Updated: 2024-10-14
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation
Authors: Phoebe Jing, Yijing Gao, Xianlong Zeng | Published: 2024-04-23