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AnthenaMatrix/AI-Audio-Data-Poisoning

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AI Audio Data Poisoning is a Python script that demonstrates how to add adversarial noise to audio data. This technique, known as audio data poisoning, involves injecting imperceptible noise into audio files to manipulate the behavior of AI systems trained on this data.

active 2024-03-16 → 2024-12-02 (UTC)

Complete coverage28,273 / 28,273 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-05 (UTC)
Events
18
Pushes
3
Pull requests
0
Issues
1
Stars
10
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 262 days from 2024-03-16 to 2024-12-02. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 10 total, peak 2 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
AnthenaMatrix3300
ThatMykl1000

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 10 stars here means stars gained during the window, not the repo's star count.