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This lecture delves into the concept of location privacy, exploring the risks associated with location-based services, quantifying privacy risks, and analyzing defense methods. It discusses the challenges of protecting privacy in the face of inference attacks and the uniqueness of significant locations. The instructor presents a systematic methodology for mitigating inference attacks and emphasizes the importance of quantifying and protecting location privacy. Various techniques such as spatial obfuscation and geo-indistinguishability are examined, along with the implications of releasing aggregate statistics and the feasibility of membership inference attacks.