14 citations · 36 across the 5 of their papers we have counts for
5 papers
DeepInvert: Semi-Supervised Embedding Inversion Against Obfuscated Language Models
Zhicong Huang, Cheng Hong, Tao Wei
Cloud-based language model services routinely process prompts containing sensitive information. Obfuscation-based defenses---including ObfusLM, SentinelLMs, TextObfuscator, and DPN…
PUMA: Secure Inference of LLaMA-7B in Five Minutes
Ye Dong, Wen-jie Lu, Yancheng Zheng +7
With ChatGPT as a representative, tons of companies have began to provide services based on large Transformers models. However, using such a service inevitably leak users' prompts…
Secure Social Recommendation based on Secret Sharing
Chaochao Chen, Liang Li, Bingzhe Wu +3
Nowadays, privacy preserving machine learning has been drawing much attention in both industry and academy. Meanwhile, recommender systems have been extensively adopted by many com…
Privacy-preserving collaborative machine learning on genomic data using TensorFlow
Cheng Hong, Zhicong Huang, Wen-jie Lu +4
Machine learning (ML) methods have been widely used in genomic studies. However, genomic data are often held by different stakeholders (e.g. hospitals, universities, and healthcare…
Quantification of the Leakage in Federated Learning
Zhaorui Li, Zhicong Huang, Chaochao Chen +1
With the growing emphasis on users' privacy, federated learning has become more and more popular. Many architectures have been raised for a better security. Most architecture work…