Data Poisoning Detector
7.8
A software tool designed to identify and flag potentially poisoned data samples within datasets used for training AI models. It leverages anomaly detection techniques, analyzing data patterns and flagging outliers indicative of malicious or biased data entries, proactively safeguarding AI model integrity.
120h
mvp estimate
7.8
viability grade
9
views
technology stack
Python
Difficult
data
inspired by
AI insiders seek to poison the data that feeds them