Image Scrubber: tool for anonymizing photographs taken at protests (everestpipkin.github.io)

Article summary

Image Scrubber is a tool for anonymizing photographs taken at protests by removing identifying metadata and allowing users to selectively blur parts of the image. The tool works offline and all processing happens directly in the browser, with no information stored or sent anywhere. It can handle images up to 2500x2500 pixels and allows users to save the scrubbed image. The tool is available on GitHub and can be used on computers or mobile devices.

Main themes

• image anonymization
• protest security
• metadata removal
• blurring effectiveness
• online security
• privacy concerns
• cloud storage risks
• image processing techniques
• anonymization methods
• identity protection

What commenters say

• Blurring faces in images may not be a secure way to protect identities, as it can potentially be reversed with enough effort and resources.
• Using a tool like Image Scrubber that works offline is important for protecting sensitive information, as uploading images to a blurring service can compromise security.
• Other methods, such as pixelation or removing sections of the image, may be more effective at protecting identities than blurring.
• Uploading protest content to cloud services like Google Photos can provide a layer of authenticity and validation, but may also compromise security and privacy.
• Some commenters argue that Google is not a trustworthy platform for storing sensitive information, while others have had positive experiences with the service.
• The effectiveness of blurring as a method of anonymization depends on the type of blur used, with some methods being more reversible than others.
• Camera serial numbers and GPS location data are also important identifying information that should be scrubbed from images.
• Different methods of anonymization, such as using a swirl effect or applying a mosaic blur, have varying levels of effectiveness and security.
• The use of deep learning-based methods, such as face detection and blurring, can be an effective way to anonymize images, but may also raise concerns about security and privacy.