9. A system comprising: at least one processor; and a non-transitory processor-readable memory device storing instructions that when executed by the at least one processor causes the at least one processor to perform operations including: answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot, wherein the bot is configured to engage in a conversation with a caller who initiates an incoming phone call by utilizing a voice recording that impersonates an individual belonging to a type of demographic targeted by the caller and dynamically conversing with the caller based on a conversation template including one or more learned conversation patterns corresponding to the individual belonging to the type of demographic targeted by the caller; recording each conversation the bot engages in; and collecting training data for training a system in detecting unwanted phone solicitations, wherein the collecting comprises classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data, and the training data each comprises each recorded conversation classified as truthful training data.
16. The system of claim 9 , wherein the one or more learned detection models comprise at least one of the following: data point inspection model, normality model, a set of rotatable classifiers, or a cross-source consistency checking model.