Privacy risks sit inside the ads that fill your social media feed

Regulatory limits on explicit targeting have not stopped algorithmic profiling on the web. Ad optimization systems still adapt which ads appear based on users’ private attributes. At the same time, multimodal LLMs have lowered the barrier for turning these hidden signals into profiling tools. A new study examines this risk and asks how outside parties could use these signals to infer private attributes from ad exposure alone. Conceptual overview of the adversarial profiling threat from … More →

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