How fast whitecircle/rise 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
Oct 13 – Oct 25, 2026
Stars +108in 13 days
0204060
43
Forks +23in 13 days
0510
10
Merged PRs 4in 13 days
024
4
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 13Oct 15Oct 17Oct 19Oct 21Oct 23Oct 25
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
Day
Stars gained
Forks gained
Merged PRs
Tue, Oct 13, 2026
+0
+0
0
Wed, Oct 14, 2026
+43
+10
4
Thu, Oct 15, 2026
+36
+9
0
Fri, Oct 16, 2026
+15
+3
0
Sat, Oct 17, 2026
+4
+0
0
Sun, Oct 18, 2026
+4
+0
0
Mon, Oct 19, 2026
+3
+0
0
Tue, Oct 20, 2026
+0
+0
0
Wed, Oct 21, 2026
+2
+0
0
Thu, Oct 22, 2026
+1
+0
0
Fri, Oct 23, 2026
+0
+1
0
Sat, Oct 24, 2026
+0
+0
0
Sun, Oct 25, 2026
+0
+0
0
Total
+108
+23
4
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
5 posts
Looks like newer AI image models are easier to jailbreak than the old ones 🤯 White Circle just open-sourced RISE, a tool that learns how to jailbreak image models. Compared to other jailbreak tools…
Red-teaming text-to-image models has an evaluation problem! White Circle just released RISE, an automated red-teaming method for text-to-image models. A lot of existing jailbreak methods look strong…
THE ALGO THAT JAILBROKE FRONTIER IMAGE MODELS IS GOING OPEN SOURCE 🤯 @whitecircle just dropped RISE, an algo that evolves attack strategies rather than rewriting prompts. It found newer models more…
We are open-sourcing RISE, our red-teaming algorithm that breaks the safeguards of the latest image models from OpenAI, DeepMind, and others. RISE uses readily available models like Qwen and Gemini…
Provides a collection of sandboxes, exploitation code, and tutorials that exemplifies GenAI Red Teaming exercises. It aims to help security researchers and developers test, probe, and evaluate the safety and security of GenAI-based applications.
is an elite, highly advanced command-line framework designed for generating complex prompt structures. It is built to push the boundaries of AI models by testing their alignment, safety filters, and operational limits. By utilizing state-of-the-art obfuscation techniques, multi-layered theoretical bypass architectures, and linguistic fusion