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No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy". (arXiv:2209.14987v1 [cs.LG])
Sept. 30, 2022, 1:20 a.m. | Nicholas Carlini, Vitaly Feldman, Milad Nasr
cs.CR updates on arXiv.org arxiv.org
New methods designed to preserve data privacy require careful scrutiny.
Failure to preserve privacy is hard to detect, and yet can lead to catastrophic
results when a system implementing a ``privacy-preserving'' method is attacked.
A recent work selected for an Outstanding Paper Award at ICML 2022 (Dong et
al., 2022) claims that dataset condensation (DC) significantly improves data
privacy when training machine learning models. This claim is supported by
theoretical analysis of a specific dataset condensation technique and an
empirical …
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