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PUBLICATIONS
Synthesize Privacy-Preserving High-Resolution Images via Private Text Mediators
Haoxiang Wang • Zinan Lin • Da Yu • Huishuai Zhang
PUBLICATIONS
Synthesize Privacy-Preserving High-Resolution Images via Private Text Mediators
Haoxiang Wang • Zinan Lin • Da Yu • Huishuai Zhang
PUBLICATIONS
Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning
Xiaozhong Liu • Alec Go • Kai Zhang • Congchao Wang • Liqian Peng
PUBLICATIONS
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs
Bowen Tan • Zheng Xu • Eric Xing • Zhiting Hu • Shanshan Wu • International Conference on Machine Learning (ICML) (2025)
BLOGS
Synthetic and federated: Privacy-preserving domain adaptation with LLMs for mobile applications
PUBLICATIONS
A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
Omer Akgul • Sai Teja Peddinti • Nina Taft • Michelle Mazurek • Hamza Harkous • Animesh Srivastava • Benoit Seguin
PUBLICATIONS
Privacy-Preserving Instructions for Aligning Large Language Models
Da Yu • Peter Kairouz • Sewoong Oh • Zheng Xu • International Conference on Machine Learning (ICML) (2024)
BLOGS
EHR-Safe: Generating high-fidelity and privacy-preserving synthetic electronic health records
Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Analysis of Electronic Health Records (EHR) has a tr...
PUBLICATIONS
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting
Meenatchi Sundaram Muthu Selva Annamalai • Igor Bilogrevic • Emiliano De Cristofaro • Network and Distributed System Security (NDSS) Symposium (2024)
PUBLICATIONS
Privacy-Preserving Information Markets for Computing Statistical Data
Aggelos Kiayias • Bülent Yener • Moti Yung • Financial Cryptography and Data Security, Springer-Verlag, Berlin, Heidelberg (2009), pp. 32-50
PUBLICATIONS
Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email
Ying Sheng • Sandeep Tata • James B. Wendt • Jing Xie • Qi Zhao • Marc Najork • 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM (2018), pp. 734-743
PUBLICATIONS
Privacy-Preserving Data Mining
Rakesh Agrawal • Ramakrishnan Srikant • SIGMOD Conference (2000), pp. 439-450
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