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This process is costly and time-consuming and has the undesired side effect of severely reducing the utility of the released content.
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Traditionally, to meet with current legislations, a manual redaction process is applied to patient-related documents in order to remove or black-out sensitive terms. In order to protect the privacy of individuals, several legislations on healthcare data management, which state the kind of information that should be protected, have been defined. Many of this data are of sensitive nature, because they may include patient-related documents such as electronic healthcare records. The adoption of ITs by medical organisations makes possible the compilation of large amounts of healthcare data, which are quite often needed to be released to third parties for research or business purposes.
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Current PDF text redaction methods are insufficient for named entity protection. Moreover, we develop an efficient algorithm for locating copy-pastable redactions and find over 100,000 poorly redacted words in US court documents. We show these findings impact by breaking redactions from the Epstein/Maxwell case, Manafort case, and a released Snowden document. We find leaked information reduces the contents for 164 of these redacted names to less than 494 possibilities from a 7 million name dictionary. We demonstrate a lower bound on the impact of these leaks via a 22,120 document study, including 18,975 Office of the Inspector General (OIG) investigation reports, where we find 769 vulnerable named-entity redactions. We empirically measure the information leaks, finding some redactions leak upwards of 15 bits of information, creating a 32,768-fold reduction in the space of potential redacted texts. We report on 11 different redaction tools, finding the majority do not remove redaction-breaking information, including some Adobe Acrobat workflows. We develop a deredaction tool for automatically finding and breaking these vulnerable redactions. We find this common conception is false - existing PDF redactions can be broken by precise measurements of non-redacted character positioning information. This practice is thought to be secure when the redacted text is removed and cannot be "copy-pasted" from the PDF document. Typical redaction tools remove text from PDF documents and draw a black or white rectangle in its place, mimicking a physical redaction.
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Today many redactions take place on digital PDF documents and redaction is often performed by software tools. In the past redaction involved the use of black or white markers or paper cut-outs to obscure content on physical paper.