Attacks against machine learning — an overview | blog post
This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them. At a high level, attacks against classifiers can be broken down into three types: Adversarial inputs, which are specially crafted inputs that have been developed with the aim of being reliably misclassified in order to evade detection. Adversarial inputs include malicious
AdNauseam - Clicking Ads So You Don't Have To
As online advertising becomes ever more ubiquitous and unsanctioned, AdNauseam works to complete the cycle by automating ad clicks universally and blindly on behalf of its users. Built atop uBlock Origin, AdNauseam quietly clicks on every blocked ad, registering a visit on ad networks' databases. As the collected data gathered shows an omnivorous click-stream, user tracking, targeting and surveill
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AH Projects » Blog Archive » CV Dazzle vs OpenCV
