# End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch

DevFeed: [End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch](<https://devfeed.tech/articles/end-to-end-multimodal-data-augmentation-and-adversarial-robustness-benchmark-with-augly-for-images-text-audio-and-pytorch-60381.md>)

Original publisher: [Read original article](<https://www.marktechpost.com/2026/09/26/end-to-end-multimodal-data-augmentation-and-adversarial-robustness-benchmark-with-augly-for-images-text-audio-and-pytorch/>)

Author: Sana Hassan

Published: 2026-09-26T07:22:46Z

Content type: tutorial

Language: en

Sources: [MarkTechPost](<https://devfeed.tech/sources/marktechpost.md>)

Topics: [data augmentation](<https://devfeed.tech/topics/data-augmentation.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [synthetic-data](<https://devfeed.tech/topics/synthetic-data.md>), [Perceptual hashing](<https://devfeed.tech/topics/perceptual-hashing.md>), [text-classification](<https://devfeed.tech/topics/text-classification.md>), [Sanitization](<https://devfeed.tech/topics/sanitization.md>), [dataloaders](<https://devfeed.tech/topics/dataloaders.md>), [Unicode](<https://devfeed.tech/topics/unicode.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [attack](<https://devfeed.tech/tags/attack.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [data-augmentation](<https://devfeed.tech/tags/data-augmentation.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [detection](<https://devfeed.tech/tags/detection.md>), [editors-pick](<https://devfeed.tech/tags/editors-pick.md>), [hamming](<https://devfeed.tech/tags/hamming.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [images](<https://devfeed.tech/tags/images.md>), [language-model](<https://devfeed.tech/tags/language-model.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [matching](<https://devfeed.tech/tags/matching.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [reproducibility](<https://devfeed.tech/tags/reproducibility.md>), [robustness](<https://devfeed.tech/tags/robustness.md>), [staff](<https://devfeed.tech/tags/staff.md>), [technology](<https://devfeed.tech/tags/technology.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>), [uncategorized](<https://devfeed.tech/tags/uncategorized.md>)

## AI overview

This tutorial presents an end-to-end workflow for multimodal data augmentation and adversarial robustness using AugLy across images, text, and audio. It covers reproducible synthetic datasets, augmentation APIs and pipelines, perceptual-hash copy detection, adversarial text classification, sanitization, and integration with PyTorch datasets and DataLoaders.

## Source excerpt

Discover how to build a comprehensive multimodal augmentation and adversarial robustness workflow using AugLy for images, text, audio, and PyTorch datasets. The post End-to-End Multimodal Data Augmentation and Adversarial Robustness Benchmark with AugLy for Images, Text, Audio, and PyTorch appeared first on MarkTechPost.