# Introduction to Differential Privacy in Deep Learning Models

DevFeed: [Introduction to Differential Privacy in Deep Learning Models](<https://devfeed.tech/articles/introduction-to-differential-privacy-in-deep-learning-models-4509.md>)

Original publisher: [Read original article](<https://feeds.feedblitz.com/~/922186523/0/baeldung/cs>)

Author: Chizaram Nwachukwu

Published: 2025-07-25T16:07:28Z

Content type: tutorial

Language: en

Sources: [Baeldung - CS](<https://devfeed.tech/sources/baeldung-cs.md>)

Topics: [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [attacks](<https://devfeed.tech/tags/attacks.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [machine-learning-security-attacks](<https://devfeed.tech/tags/machine-learning-security-attacks.md>), [models](<https://devfeed.tech/tags/models.md>), [pii](<https://devfeed.tech/tags/pii.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [security-attacks](<https://devfeed.tech/tags/security-attacks.md>), [training](<https://devfeed.tech/tags/training.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

## AI overview

A tutorial on applying differential privacy to deep-learning training so models can use sensitive data while reducing the risk of inferring whether an individual record was in the training set.

## Source excerpt

Learn to make secure machine-learning models using differential privacy and PATE. The post Introduction to Differential Privacy in Deep Learning Models first appeared on Baeldung on Computer Science. Related Stories Types of VoIP Hacking and Countermeasures What Is the Gradient Norm? What's the Difference Between 'transform' and 'fit_transform' in sklearn?