Privacy Amplification for Matrix Mechanisms
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta | Published: 2023-10-24 | Updated: 2024-05-04
データ生成
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
Authors: Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar | Published: 2023-10-18 | Updated: 2024-04-08
Private Synthetic Data Meets Ensemble Learning
Authors: Haoyuan Sun, Navid Azizan, Akash Srivastava, Hao Wang | Published: 2023-10-15
Embarrassingly Simple Text Watermarks
Authors: Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada | Published: 2023-10-13
Characterizing climate pathways using feature importance on echo state networks
Authors: Katherine Goode, Daniel Ries, Kellie McClernon | Published: 2023-10-12
ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
Authors: Binghui Wu, Philipp Gysel, Dinil Mon Divakaran, Mohan Gurusamy | Published: 2023-10-12 | Updated: 2024-01-12
Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method
Authors: Rémy Chapelle, Bruno Falissard | Published: 2023-10-10
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