Securing Personally Identifiable Information: A Survey of SOTA Techniques, and a Way Forward
IEEE AccessThe current age is witnessing an unprecedented dependence on data originating from humans through the devices that comprise the Internet of Things. The data collected by these devices are used for many purposes, including predictive maintenance, smart ...
Imran Makhdoom +5 more
doaj +3 more sources
Deep Learning Application – Identifying PII (Personally Identifiable Information) to Protect [PDF]
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).
Makhija, Anil K.
core +5 more sources
Enhancing the De-identification of Personally Identifiable Information in Educational Data [PDF]
arXiv.orgProtecting Personally Identifiable Information (PII), such as names, is a critical requirement in learning technologies to safeguard student and teacher privacy and maintain trust. Accurate PII detection is an essential step toward anonymizing sensitive information while preserving the utility of educational data.
Yang Shen +3 more
semanticscholar +4 more sources
Detecting Personally Identifiable Information Through Natural Language Processing: A Step Forward
Applied System InnovationThe 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
On the leakage of personally identifiable information via online social networks [PDF]
ACM SIGCOMM Computer Communication Review, 2009 For purposes of this paper, we define "Personally identifiable information" (PII) as information which can be used to distinguish or trace an individual's identity either alone or when combined with other information that is linkable to a specific individual.
Balachander Krishnamurthy +1 more
openalex +4 more sources
A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents [PDF]
Scientific ReportsSafeguarding Personally Identifiable Information (PII) in financial documents is essential to prevent data breaches and maintain regulatory compliance.
Kushagra Mishra +2 more
doaj +2 more sources
Applied SciencesThe rapid proliferation of artificial intelligence (AI) across various industries presents both opportunities and challenges, particularly concerning personal data privacy. With the enforcement of regulations like Thailand’s Personal Data Protection Act (
Parinya Thetbanthad +2 more
doaj +2 more sources
PIILO: an open-source system for personally identifiable information labeling and obfuscation
Information and Learning Sciences, 2023 Purpose This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text. Design/methodology/approach The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated for
Holmes, Langdon +3 more
openaire +2 more sources
Examining the applicability of hard data protection law on demographically identifiable information (DII): the case of humanitarian UAV/drone images in Malawi [PDF]
Journal of International Humanitarian ActionResearch carried out in Northern Malawi concluded that protecting and ensuring responsible use of drone-collected data in disaster-risk areas should be left entirely to the humanitarian organisations collecting these data, with little participation ...
Rogers Alunge Alunge Nnangsope
doaj +2 more sources
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? [PDF]
arXiv.org, 2023 Machine learning practitioners often fine-tune generative pre-trained models like GPT-3 to improve model performance at specific tasks. Previous works, however, suggest that fine-tuned machine learning models memorize and emit sensitive information from ...
Albert Yu Sun +6 more
openalex +3 more sources