Plexiglass: A toolbox for testing against adversarial attacks in DNNs and LLMs
Hi everyone, my name is Enoch and I am a researcher studying deep generative models.
I've started this project called Plexiglass a while back, which started off as a torch toolbox for adversarial research in DCNNs. I am now rebooting it as a toolbox for testing against adversarial attacks in both DNNs and LLMs.
Idea is to test your DCNNs against adversarial attacks such as fast gradient sign method and toxic prompts in LLMs.
I would very much appreciate contributions, I need more devs as I'm too busy to do this all by myself .
Repo is here: https://github.com/kortex-labs/plexiglass
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[ 4.5 ms ] story [ 7.7 ms ] thread> Plexiglass vs. Plexiglas®: Acrylic Sheeting Facts
> These two terms are pronounced the same, spelled almost identically, and can be compared to the relationship of tissue and Kleenex. These are known as proprietary eponyms, meaning a trade name has become the generic name for a product or service. Sometimes these are referred to as generic trademarks. What makes it particularly difficult to know the difference between plexiglass and Plexiglas® is the small variation in spelling. The difference in one letter stumps many people. Plexiglass with two s’s is the generic term synonymous with acrylic sheet. Plexiglas® with one s is the brand name. Other trade names that have become comparable to Plexiglas® include Acrylite®, Lucite®, and Perspex®.
[0] https://www.acplasticsinc.com/informationcenter/r/plexiglass...