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Task-specific evaluations reveal that conventional abstraction methods fail to provide consistent privacy guarantees in robot perception exports.
ToolMinimize slashes privacy exposure in LLM tool calls by up to 92% without sacrificing task validity, addressing a major vulnerability in AI systems.
Watermarking, intended to govern AI content, is held to a lower fairness standard than the AI models it's meant to regulate, potentially leading to biased content authentication.
