Linked_Liszt

I haven't kept up with the adversarial ML field recently, but I wonder how vulnerable these models are to adversarial attacks.

- Could someone deliberately publish poor code to reduce the overall performance of the model?

- Could someone target a specific use case or trigger word by publishing deliberately poor code under similar function definitions?

It's cool that this framework is getting some attention. In our college senior design project, we built a small prototype using this framework during a trade study. We got a few small UI fixes pushed upstream to the main repo. Our team even got to meet up with the maintainers for a few days as they were showing off the framework. It was one of the most interesting and unique software projects I've worked on.

The framework itself is portable allowing for code sharing across multiple missions and hardware setups. According to the devs, in the space industry, software is so mission specific and intertwined that it's rarely reused. FPrime's "modules" create hard barriers between sections of the program, something I have mixed feelings about. Finally the "module" system allows for a very easy to use concurrency model, which I think is one of the strengths of the framework. (Though, take these words with a grain of salt as I was and still am wildly underqualified in the domain of embedded systems)

Looks like the article Google archive has gone down.

-Image Backup: https://imgur.com/a/uiTcA4Q

-WayBack Archive Backup: https://web.archive.org/web/20200914003530/https://webcache....