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Testing Tactics to Localize De-Identification
2009Recent renewed interest in de-identification (also known as “anonymisation”) has led to the development of a series of systems in the United States with very good performance on challenge test sets. De-identification needs however to be tuned to the local documents and their specificities.
Cyril Grouin +3 more
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Attributes Preserving Face De-Identification
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019In this paper, we propose a Face de-identification method to remove the identification information of a person while maintaining all the face attributes such as expression, age and gender. Motivated by the k-Same algorithm, our method consists of three steps: first, k face images are selected randomly.
Bin Yan, Mingtao Pei, Zhengang Nie
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SpeeDF - A Speech De-Identification Framework
TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)This paper proposes SpeeDF, a novel three-step framework for anonymizing speech data, particularly focusing on Singaporean English (Singlish). SpeeDF tackles the challenge of protecting less-studied Personally Identifiable Information (PII) like NRIC and passport numbers, which often go overlooked by traditional de-identification methods.
Veerappan, Chandra Sekar +3 more
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Web user de-identification in personalization
Proceedings of the 17th international conference on World Wide Web, 2008It is a kind of privacy infraction in personalized web service if the user profile submitted to one web site transferred to another site without user permission. That can cause the second web site easily re-identify to whom these personal data belong, no matter whether the transfer is under control or by hacking.This paper presents a portable solution ...
Jiaqian Zheng, Jing Yao, Junyu Niu
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2009
With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. In most of these applications, knowledge of the identity of people in the image is not required.
Ralph Gross +4 more
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With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. In most of these applications, knowledge of the identity of people in the image is not required.
Ralph Gross +4 more
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Clothing Color Based De-Identification
2018 41st International Conference on Telecommunications and Signal Processing (TSP), 2018Color of clothing can be easily used in the process of people identification as a non-biometric trait. This trait would be modified appropriately to preserve personal anonymity in social media or in video surveillance systems. This paper deals with a proposal of new method for clothing color de-identification in image records.
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An approach to the de-identification of faces in different poses
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014Publicly captured surveillance videos and images serve as a rich source of biometric identifiers. Of these, the face is the one with most frequently used for the identification of people. In order to protect person's identity, whenever it is not absolutely required, the face should be de-identified.
Samaržija, Branko, Ribarić, Slobodan
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De-Identification of Medical Narrative Data
2017Maintaining data security and privacy in an era of cybersecurity is a challenge. The enormous and rapidly growing amount of health-related data available today raises numerous questions about data collection, storage, analysis, comparability and interoperability but also about data protection. The US Health Portability and Accountability Act (HIPAA) of
Vasiliki, Foufi +3 more
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The discombobulation of de-identification
Nature Biotechnology, 2016Mark, Phillips, Bartha M, Knoppers
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De-identification as public policy
Journal of Data Protection & Privacy, 2020Canada’s data privacy law, the Personal Information Protection and Electronic Documents Act (PIPEDA), does not require or incentivise de-identification of personal data for purposes of sharing or research. This regulatory lacuna puts Canadian national law at a disadvantage in contrast with the privacy regimes of other countries, such as the United ...
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