Sparks of artificial general intelligence: Early experiments with gpt-4
Artificial intelligence (AI) researchers have been developing and refining large language
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …
Analyzing leakage of personally identifiable information in language models
Language Models (LMs) have been shown to leak information about training data through
sentence-level membership inference and reconstruction attacks. Understanding the risk of …
sentence-level membership inference and reconstruction attacks. Understanding the risk of …
Differentially private natural language models: Recent advances and future directions
Recent developments in deep learning have led to great success in various natural
language processing (NLP) tasks. However, these applications may involve data that …
language processing (NLP) tasks. However, these applications may involve data that …
Toward privacy preservation using clustering based anonymization: recent advances and future research outlook
With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …
become a hot research topic resulting in various proposed mechanisms to address this …
Llm-pbe: Assessing data privacy in large language models
Large Language Models (LLMs) have become integral to numerous domains, significantly
advancing applications in data management, mining, and analysis. Their profound …
advancing applications in data management, mining, and analysis. Their profound …
Protecting user privacy in remote conversational systems: A privacy-preserving framework based on text sanitization
Large Language Models (LLMs) are gaining increasing attention due to their exceptional
performance across numerous tasks. As a result, the general public utilize them as an …
performance across numerous tasks. As a result, the general public utilize them as an …
Privacy-preserving models for legal natural language processing
Y Yin, I Habernal - arXiv preprint arXiv:2211.02956, 2022 - arxiv.org
Pre-training large transformer models with in-domain data improves domain adaptation and
helps gain performance on the domain-specific downstream tasks. However, sharing …
helps gain performance on the domain-specific downstream tasks. However, sharing …
Fltrojan: Privacy leakage attacks against federated language models through selective weight tampering
Federated learning (FL) is becoming a key component in many technology-based
applications including language modeling--where individual FL participants often have …
applications including language modeling--where individual FL participants often have …
PIILO: an open-source system for personally identifiable information labeling and obfuscation
Purpose This study aims to report on an automatic deidentification system for labeling and
obfuscating personally identifiable information (PII) in student-generated text …
obfuscating personally identifiable information (PII) in student-generated text …
Generation of Replacement Options in Text Sanitization
AW Olstad, A Papadopoulou… - Proceedings of the 24th …, 2023 - aclanthology.org
The purpose of text sanitization is to edit text documents to mask text spans that may directly
or indirectly reveal personal information. An important problem in text sanitization is to find …
or indirectly reveal personal information. An important problem in text sanitization is to find …