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In August 2020, the U.S. Food and Drug Administration (FDA) became aware of nitrosamine impurities in certain samples of rifampin. [61] The FDA and manufacturers are investigating the origin of these impurities in rifampin, and the agency is developing testing methods for regulators and industry to detect the 1-methyl-4-nitrosopiperazine (MNP ...
Medical data, including patients' identity information, health status, disease diagnosis and treatment, and biogenetic information, not only involve patients' privacy but also have a special sensitivity and important value, which may bring physical and mental distress and property loss to patients and even negatively affect social stability and national security once leaked.
A data breach, also known as data leakage, is "the unauthorized exposure, disclosure, or loss of personal information". [ 1 ] Attackers have a variety of motives, from financial gain to political activism , political repression , and espionage .
This is a list of reports about data breaches, using data compiled from various sources, including press reports, government news releases, and mainstream news articles. The list includes those involving the theft or compromise of 30,000 or more records, although many smaller breaches occur continually.
The terms "data loss" and "data leak" are related and are often used interchangeably. [3] Data loss incidents turn into data leak incidents in cases where media containing sensitive information are lost and subsequently acquired by an unauthorized party. However, a data leak is possible without losing the data on the originating side.
2015 TalkTalk data breach; 2016 Indian bank data breach; 2018 Google data breach; 2018 SingHealth data breach; 2021 Microsoft Exchange Server data breach; 2022 Optus data breach; 2023 Bangladesh Government website data breach; 2023 MOVEit data breach; 2024 cyberattack on Kadokawa and Niconico
In statistics and machine learning, leakage (also known as data leakage or target leakage) is the use of information in the model training process which would not be expected to be available at prediction time, causing the predictive scores (metrics) to overestimate the model's utility when run in a production environment.
Pentagon Papers: Top secret documents of the United States Department of Defense regarding its involvement in the Vietnam War. Afghan War documents leak: Disclosure of a collection of internal U.S. military logs of the War in Afghanistan. Iraq War documents leak: A WikiLeaks disclosure of a collection of 391,832 United States Army field reports.