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ch-shin/awesome-data-poisoning

#Curated list
Visit GitHub
28
1
1 contributors
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Momentum

How fast ch-shin/awesome-data-poisoning is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 23 – Oct 26, 2026

Stars +1 in 34 days

01
1

Forks +0 in 34 days

01

Merged PRs 0 in 34 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 23Sep 28Oct 3Oct 8Oct 13Oct 18Oct 23
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Wed, Sep 23, 2026+1+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+0+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Total+1+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 122 posts
    • 想了解GEM? 想给Ai投毒? 想通过AI营销自己的产品? 整理了一些相关高质量仓库,可供学习! 1⃣综合Awesome列表(强烈推荐) A.数据投毒相关论文、基准和资源的精选列表,包含大量顶级会议论文和代码链接。 👉 - B.数据投毒 + 后门攻击的论文合集,覆盖防御方法。 👉 🟢🟢🟢 2⃣经典数据投毒实现 A.工业规模数据投毒框架,实现隐形对抗模式注入(如Gradient…

      Read full on X, posted by @yaoyaogm

      @yaoyaogm · x.com

    • 想了解GEM? 想给Ai投毒? 想通过AI营销自己的产品? 整理了一些相关一些高质量仓库,可供学习! 1⃣综合Awesome列表(强烈推荐) A.数据投毒相关论文、基准和资源的精选列表,包含大量顶级会议论文和代码链接。 👉 - B.数据投毒 + 后门攻击的论文合集,覆盖防御方法。 👉 🟢🟢🟢 2⃣经典数据投毒实现 A.工业规模数据投毒框架,实现隐形对抗模式注入(如Gradient…

      Read full on X, posted by @yaoyaogm

      @yaoyaogm · x.com

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