ENTITY
f-Differential Privacy
f-Differential Privacy
PulseAugur coverage of f-Differential Privacy — every cluster mentioning f-Differential Privacy across labs, papers, and developer communities, ranked by signal.
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Releases · 30d
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Papers · 30d
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TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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DP-SGD faces fundamental privacy-utility trade-off limitations
A new research paper published on arXiv details fundamental limitations in Differentially Private Stochastic Gradient Descent (DP-SGD), a common method for private model training. The study, analyzing DP-SGD under the $…
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New auditors improve f-Differential Privacy assessment without fixed sample size
Researchers have developed new auditors to empirically assess the Differential Privacy (DP) of algorithms, focusing on the expressive $f$-DP concept. These auditors can detect privacy violations across the full privacy …