PhobiaBlocker

You're on your favorite chat or browsing social media when suddenly a wild and scary image of a spider appears! PhobiaBlocker lets you enjoy a phobia free web.

PhobiaBlocker blocks images related to your phobia. Choose what to block from a large list of real-world objects (e.g., insects, animals, plants).

Features • Automatically block images representing real-world objects you have chosen • Manually block or unblock images using the right-click menu • Block all images across all websites • Automatically block or trust (to improve performance) images whose src matches a specified regex (blocking takes priority) • Add trusted websites (domain name with subdomain) to improve performance

Options • Quick option to block spider-like and insect-like images • Advanced selection from a long list of real-world objects • Speed/Accuracy tradeoff of the automatic blocker • Risk management of the automatic blocker • Add or remove regex rules to automatically trust or block images using their src • Pause the automatic blocker (manual blocking remains enabled) • Enable dark or light mode (dark mode is enabled by default) • Label trusted websites from the popup menu

Privacy • No browsing data is sent to an external endpoint • Images are analysed on your computer but they are not saved, except in a transformed form within a local cache that can be disabled in the options

Technical details and restrictions • Machine learning models for ImageNet classification are used to analyse images. The list of things to block comes from ImageNet classes. This is why only real-world objects are supported. For instance blocking abstract phobias like heights or gore is not supported. • The extension analyses <img> and SVG <image> elements. When a new image is added to the DOM or changes, the element is analysed as well. Images from <canvas> elements and the CSS background-image property are not supported. • Images are temporarily blocked before they are analysed. Images can blink before being temporarily blocked in rare cases. • Most of the extension's size is due to the machine learning models and the library to execute them. • The automatic blocker uses a cache of decisions, which can be stored locally or used only temporarily. The cache contains non-cryptographic hashes of images. Both the cache and its persistence mechanism can be disabled in the options.

Changelog 1.3.2 Bug fixes • Fixed issue in case of unsupported webgpu

1.3.1 Bug fixes • Fixed issues with manual blocking/unblocking

1.3.0 Major update after a long hiatus • Improved performance: images are analyzed significantly faster • Updated machine learning models and underlying libraries • Better handling of image processing with optimized queuing • Various bug fixes and stability improvements