データ生成

Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning

Authors: Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac | Published: 2023-09-14
ウォーターマーキング
データ生成
性能評価

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
データ生成
プライバシー手法
評価指標

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
データ生成
収束特性
計算複雑性

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
データ生成
プライバシー保護手法
計算効率

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
データ生成
機械学習手法
透かしの耐久性

Generating tabular datasets under differential privacy

Authors: Gianluca Truda | Published: 2023-08-28
データ生成
プライバシー保護
プライバシー保護手法

DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization

Authors: Xiaoyu Ye, Hao Huang, Jiaqi An, Yongtao Wang | Published: 2023-08-19
カスタマイズ手法
データ生成
透かしの耐久性

Large-Scale Public Data Improves Differentially Private Image Generation Quality

Authors: Ruihan Wu, Chuan Guo, Kamalika Chaudhuri | Published: 2023-08-04
データ生成
プライバシー保護手法
収束特性

URET: Universal Robustness Evaluation Toolkit (for Evasion)

Authors: Kevin Eykholt, Taesung Lee, Douglas Schales, Jiyong Jang, Ian Molloy, Masha Zorin | Published: 2023-08-03
データ生成
敵対的サンプル
敵対的攻撃

Differentially Private Linear Regression with Linked Data

Authors: Shurong Lin, Elliot Paquette, Eric D. Kolaczyk | Published: 2023-08-01 | Updated: 2024-05-08
セキュアロジスティック回帰
データ生成
プライバシー保護手法