Inspiration
Through the pandemic, countries like China used case to case method to find infected people and slow the spread of virus. The method to do so however violates the data privacy of citizens in countries like Germany. Citizens won't accept the same approach from their government.
What it does
What I like to achieve is to create a way that explains the non CS citizens how we can have a secure app that does the same when it comes to slowing the spread
How I built it
I will use python, pytorch and I will leverage the information presented in the tutorials to understand the methods and then simplify the way it can be done
Challenges I ran into
Yet to cone
Accomplishments that I'm proud of
Learning about secure ML
What I learned
Security in data science, ML
What's next for TrustCOV19
Embedding these techniques in the final project
Built With
- ppytorch
- python
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