Results 11 to 20 of about 225,999 (330)

KDPII: A New Korean Dialogic Dataset for the Deidentification of Personally Identifiable Information

IEEE Access
The rapid growth of social media in the era of big data and artificial intelligence has raised significant safety concerns related to the communication of sensitive personal information.
Li Fei, Yejee Kang, Seoyoon Park, Yeonji Jang, Jongkyu Lee, Hansaem Kim   +5 more
doaj   +3 more sources

Honey password vaults tolerating leakage of both personally identifiable information and passwords

Cybersecurity
Honey vaults are useful tools for password management. A vault usually contains usernames for each domain, and the corresponding passwords, encrypted with a master password chosen by the owner.
Chao An, YuTing Xiao, HaiHang Liu, Han Wu, Rui Zhang   +4 more
doaj   +3 more sources

Deep Learning Application – Identifying PII (Personally Identifiable Information) to Protect

Journal of Accounting, Finance, Economics, and Social Sciences, 2020
This paper presents application of deep learning and machine learning models in detecting personally identifiable information (PII) in unstructured text (emails). The proposed models use support vector machine (trained using sequential minimal optimization) and long short term memory (LSTM) artificial neural network.
Anil K. Makhija
semanticscholar   +4 more sources

Understanding Users' Perception of Personally Identifiable Information [PDF]

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Personally identifiable information (PII) is a fundamental concept in privacy research and regulations. Understanding users' perspectives on PII is critical, as their understanding of PII can significantly affect their privacy decisions and practices ...
Qiurong Song, Yanlai Wu, Rie Helene (Lindy) Hernandez, Yao Li, Yubo Kou, Xinning Gui   +5 more
semanticscholar   +3 more sources

Analyzing Leakage of Personally Identifiable Information in Language Models

2023 IEEE Symposium on Security and Privacy (SP), 2023
Language Models (LMs) have been shown to leak information about training data through sentence-level membership inference and reconstruction attacks. Understanding the risk of LMs leaking Personally Identifiable Information (PII) has received less attention, which can be attributed to the false assumption that dataset curation techniques such as ...
Lukas, Nils, Salem, Ahmed, Sim, Robert, Tople, Shruti, Wutschitz, Lukas, Zanella-Béguelin, Santiago   +5 more
openaire   +3 more sources

A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents [PDF]

Scientific Reports
Safeguarding Personally Identifiable Information (PII) in financial documents is essential to prevent data breaches and maintain regulatory compliance.
Kushagra Mishra, Harsh Pagare, Kanhaiya Sharma   +2 more
doaj   +2 more sources

Detecting Personally Identifiable Information Through Natural Language Processing: A Step Forward

Applied System Innovation
The protection of personally identifiable information (PII) is being increasingly demanded by customers and governments via data protection regulations. Private and public organizations store and exchange through the Internet a large amount of data that ...
Luca Mainetti, Andrea Elia
doaj   +2 more sources

Customized Malware: Identifying Target Systems Using Personally Identifiable Information [PDF]

Customized Malware: Identifying Target Systems Using Personally Identifiable Information
Given the increasing popularity of sandbox analysis, malware authors have adapted sandbox evasion functionalities into modern malware. In addition, attackers can create Customized Malware that hide their malicious payload until the identifier of the target-specific system can be verified.
Rui Tanabe, Yuta Inoue, Daigo Ichikawa, Takahiro Kasama, Daisuke Inoue, Katsunari Yoshioka, Tsutomu Matsumoto   +6 more
core   +4 more sources

Personally Identifiable Information (PII) Detection in the Unstructured Large Text Corpus using Natural Language Processing and Unsupervised Learning Technique [PDF]

International Journal of Advanced Computer Science and Applications, 2021
Personally Identifiable Information (PII) has gained much attention with the rapid development of technologies and the exploitation of information relating to an individual.
Poornima Kulkarni, N. K. Cauvery
openalex   +2 more sources

An Artificial Intelligence Browser Architecture (AIBA) For Our Kind and Others: A Voice Name System Speech implementation with two warrants, Wake Neutrality and Value Preservation of Personally Identifiable Information [PDF]

, 2022
Subirana B.
europepmc   +2 more sources