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SSRNML & AI Methods

Adversarial Attacks on Encrypted ML

The article explores the susceptibility of encrypted machine learning models to attacks and suggests ways to improve data security and model reliability.

Featured in No. 79 on 18 Dec 2024 ·

Released
30 Jun 2024
First featured
No. 79 · 18 Dec 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
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Identifier
SSRN 5060492

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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