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This is a list of datasets for machine learning research. It is part of the list of datasets for machine-learning research. These datasets consist primarily of images or videos for tasks such as object detection, facial recognition, and multi-label classification.
Modified Human Sperm Morphology Analysis Dataset (MHSMA) Human sperm images from 235 patients with male factor infertility, labeled for normal or abnormal sperm acrosome, head, vacuole, and tail. Cropped around single sperm head. Magnification normalized. Training, validation, and test set splits created. 1,540 .npy files Classification 2019 ...
For example, www.paypalsecure.com, includes the name, but is a spoofed URL designed to deceive. Remember to always log into PayPal through a new window browser and never log in through email. In the case that you do receive a suspected spoofed URL, forward the entire email to spoof@PayPal.com to help prevent the URL from tricking other PayPal ...
Simulated phishing or a phishing test is where deceptive emails, similar to malicious emails, are sent by an organization to their own staff to gauge their response to phishing and similar email attacks. The emails themselves are often a form of training, but such testing is normally done in conjunction with prior training; and often followed ...
Another popular approach to fighting phishing is to maintain a list of known phishing sites and to check websites against the list. One such service is the Safe Browsing service. [109] Web browsers such as Google Chrome, Internet Explorer 7, Mozilla Firefox 2.0, Safari 3.2, and Opera all contain this type of anti-phishing measure.
Watering hole is a computer attack strategy in which an attacker guesses or observes which websites an organization often uses and infects one or more of them with malware.
Domain hijacking can be done in several ways, generally by unauthorized access to, or exploiting a vulnerability in the domain name registrar's system, through social engineering, or getting into the domain owner's email account that is associated with the domain name registration.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]