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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.
These leaks can lead to performance issues, unexpected behavior, and increased cognitive load on software developers, who are forced to understand both the abstraction and the underlying details it was meant to hide. This highlights a cause of software defects: the reliance of the software developer on an abstraction's infallibility.
February: The German Chaos Computer Club has reported more than fifty data leaks. Government institutions and companies from various business sectors were affected. In total, the researchers had access to over 6.4 million personal data records as well as terabytes of log data and source code. [209] [210]
Clang – The free Clang project includes a static analyzer. As of version 3.2, this analyzer is included in Xcode. [14] Infer – Developed by an engineering team at Facebook with open-source contributors. Targets null pointers, leaks, API usage and other lint checks. Available as open source on github. Understand
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.
In computer programming, the lapsed listener problem is a common source of memory leaks for object-oriented programming languages, among the most common ones for garbage collected languages. [ 1 ] It originates in the observer pattern , where observers (or listeners) register with a subject (or publisher) to receive events .
A modern example of information leakage is the leakage of secret information via data compression, by using variations in data compression ratio to reveal correlations between known (or deliberately injected) plaintext and secret data combined in a single compressed stream. [1]
Typical resource leaks include memory leak and handle leak, particularly file handle leaks, though memory is often considered separately from other resources. [1] Examples of resources available in limited numbers to the operating system include internet sockets, file handles, process table entries, and process identifiers (PIDs). Resource ...