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If anyone want's the source of the proof of concept extension[1] here's a link to get it. Just use wget https://clients2.google.com/service/update2/crx?respons

by ktta 10y ago

If anyone want's the source of the proof of concept extension[1] here's a link to get it. Just use wget https://clients2.google.com/service/update2/crx?response=redirect&os=linux&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=57.0.2987.133&x=id%3Dmahgiflleahghaapkboihnbhdplhnchp%26uc https://clients2.google.com/service/update2/crx?response=red... You should just be able to unzip it. [1]:https://chrome.google.com/webstore/detail/perceptual-ad-blocker/mahgiflleahghaapkboihnbhdplhnchp?hl=en https://chrome.google.com/webstore/detail/perceptual-ad-bloc...

blacksmith_tb 10y ago
Or you could add some fangs to it yourself[1] by forking it... 1: https://github.com/citp/ad-blocking/tree/master/perceptual-adblocker https://github.com/citp/ad-blocking/tree/master/perceptual-a...
- Animats 10y ago
  From the description, it only finds very specific types of ads: For Facebook ad detection, it finds newsfeed items by looking for containers within the given width constraints and border on the side; it looks for the sidebar ads by searching for containers with the proper size constraints in a sidebar. It then determines which newsfeed items are ads by searching for the "Sponsored" link within them and checking whether this link ultimately goes to the Facebook "about ads" page. For Adchoices detection, it runs a content script in every iframe which searches all of the images, (those explicit in an img element, those in the background-image css, and those drawn as an svg) and then uses fuzzy hashing to compare them to example Adchoices icons. If any of the images match, it highlights the iframe as an advertisement. That won't remove a typical banner ad, or an ad popup.
  - hla19 10y ago
    Assuming this is true, why do we need AI for something like this? We can build a repo of images that's used to show ads, and just block by images. There's a pretty big multiplier on number of visitors to the number of ad pictures.
deleted 10y ago
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by ktta 10y ago

blacksmith_tb 10y ago

Or you could add some fangs to it yourself[1] by forking it... 1: https://github.com/citp/ad-blocking/tree/master/perceptual-adblocker https://github.com/citp/ad-blocking/tree/master/perceptual-a...

Animats 10y ago
From the description, it only finds very specific types of ads: For Facebook ad detection, it finds newsfeed items by looking for containers within the given width constraints and border on the side; it looks for the sidebar ads by searching for containers with the proper size constraints in a sidebar. It then determines which newsfeed items are ads by searching for the "Sponsored" link within them and checking whether this link ultimately goes to the Facebook "about ads" page. For Adchoices detection, it runs a content script in every iframe which searches all of the images, (those explicit in an img element, those in the background-image css, and those drawn as an svg) and then uses fuzzy hashing to compare them to example Adchoices icons. If any of the images match, it highlights the iframe as an advertisement. That won't remove a typical banner ad, or an ad popup.
- hla19 10y ago
  Assuming this is true, why do we need AI for something like this? We can build a repo of images that's used to show ads, and just block by images. There's a pretty big multiplier on number of visitors to the number of ad pictures.

deleted 10y ago

[deleted]