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In recent years, differential privacy has emerged as a promising solution to enhance privacy protection in data processing systems. However, beneath that seemingly solid framework lie certain assumptions that, if left unchallenged, can inadvertently undermine its effectiveness in protecting individual privacy.
Here we discuss a recent paper on differential privacy by Rachel Cummings, associate professor of industrial engineering and operations research and CDT non-resident fellow at Columbia University, and CDT non-resident fellow and associate professor of information science at Cornell University. My name is Daniel Susser. fellow.
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