By identifying the semantic features of an SMS, it can accurately determine whether the received SMS is a normal SMS, a public service SMS or a spamming SMS, etc. "The more support we get, the smarter SMS Defender will become. # Privacy We care so much about your privacy that "Spam Blocker" is a completely offline application. We rely on users to actively report spam messages to us to build and update our machine learning sample base. If you voluntarily submit an SMS sample to "Spam Blocker", the desensitized SMS text and a number that you mark as spam or not will be collected and this data will be uploaded to our servers.
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