Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method
Authors: Rémy Chapelle, Bruno Falissard | Published: 2023-10-10
Data Generation
Assessing Robustness via Score-Based Adversarial Image Generation
Authors: Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann | Published: 2023-10-06
AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generation
Authors: Filippo Perrina, Francesco Marchiori, Mauro Conti, Nino Vincenzo Verde | Published: 2023-10-04
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Authors: Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim | Published: 2023-09-21 | Updated: 2024-01-28
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
Authors: Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac | Published: 2023-09-14
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement
Authors: Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel | Published: 2023-09-13 | Updated: 2024-01-23
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems
Authors: Feng Bao, Zezhong Zhang, Guannan Zhang | Published: 2023-09-02 | Updated: 2024-08-13
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
Authors: Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal | Published: 2023-08-30 | Updated: 2023-11-26
On the Steganographic Capacity of Selected Learning Models
Authors: Rishit Agrawal, Kelvin Jou, Tanush Obili, Daksh Parikh, Samarth Prajapati, Yash Seth, Charan Sridhar, Nathan Zhang, Mark Stamp | Published: 2023-08-29
Generating tabular datasets under differential privacy
Authors: Gianluca Truda | Published: 2023-08-28