A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents [PDF]
Safeguarding 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
Personally identifiable information (PII) affects individual privacy because PII combinations may yield unique identifications in published data. User PII such as age, race, gender, and zip code contain private information that may assist an adversary in
Farman Ullah +2 more
exaly +3 more sources
Personally Identifiable Information: Identifying Unprotected PII Using File-Indexing Search Tools and Quantitative Analysis [PDF]
This paper reports on a project in which employees at Federal agencies are surveyed regarding their knowledge of security policies in place in their offices and their knowledge of PII (Personally Identifiable Information) stored on their systems.
Albert Esterline
exaly +3 more sources
Efficiency and Privacy in Record Linkage: Evaluating a Novel Blocking Technique Implemented on Cryptographic Longterm Keys [PDF]
Efficient privacy-preserving record linkage (PPRL) is essential for integrating data from different providers without exposing personally identifiable information (PII).
Dean Resnick, Núria Adell Raventós
doaj +2 more sources
Deep Learning Application – Identifying PII (Personally Identifiable Information) to Protect
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.
exaly +2 more sources
Triggering the Personalization Backfire Effect: The Moderating Role of Situational Privacy Concern [PDF]
Personalized marketing presents a powerful but delicate strategy, as its benefits can be negated by rising consumer privacy concerns. To illuminate this tension, this study investigates what causes personalization to fail, focusing on the interaction ...
Hyeongseok Kim, Seunghee Han
doaj +2 more sources
Detecting Personally Identifiable Information Through Natural Language Processing: A Step Forward
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
exaly +3 more sources
NLP-based removal of personally identifiable information from Hungarian electronic health records [PDF]
IntroductionElectronic health records (EHR) in text format serve as crucial resources for data-driven medical research. To safeguard patient confidentiality, under the General Data Protection Regulation (GDPR), strict measures are required to ensure ...
András Berzi +5 more
doaj +2 more sources
Summary: The presence of personally identifiable information (PII) in natural language portions of electronic health records (EHRs) constrains their broad reuse.
Karthik Murugadoss +10 more
doaj +1 more source
Recent findings have shown that the continued expansion of the scope and scale of data collected in electronic health records are making the protection of personally identifiable information (PII) more challenging and may inadvertently put our ...
Emily R. Pfaff +7 more
doaj +1 more source

