Oct 16, 2024 · This study indicates that these well-known LLMs have emerged as a new security risk for existing DP text sanitization approaches in the current environment.

Oct 16, 2024 · We discovered that LLMs could reconstruct the altered/removed privacy from given DP-sanitized prompts. We propose two attacks (black-box and white-box) based ...

Oct 16, 2024 · Differential privacy (DP) is the de facto privacy standard against privacy leakage attacks, including many recently discovered ones against ...

View recent discussion. Abstract: Differential privacy (DP) is the de facto privacy standard against privacy leakage attacks, including many recently ...

Oct 16, 2024 · This paper presents an innovative approach to recovering the original text from data that has been sanitized using differential privacy.

[2024/10] Reconstruction of Differentially Private Text Sanitization via Large Language Models ... using Differentially Private Large Language Models · LLM ...

Oct 1, 2024 · This paper explores techniques for reconstructing text that has been sanitized using differential privacy. The researchers use large language ...

Dec 10, 2024 · Explore how AI privacy enhancement technologies safeguard user data in large language models, ensuring compliance and trust. | Restackio.

Mar 22, 2024 · In this section, we review some papers that focus on pre- trained NLP models under DP constraints. The workflow of BERT (Devlin et al., 2019) is.

Nov 21, 2024 · We propose an architecture leveraging a Small Language Model (SLM) at the user-side to help estimate the impact of sanitization on a prompt ...