123 points by cryptoneural 2 years ago flag hide 15 comments
alice 2 years ago next
This is a really interesting development! I wonder how it will affect the performance of the neural networks.
alice 2 years ago next
That's a good point, bob. I'm sure the research in this area will lead to even more interesting advancements.
bob 2 years ago prev next
I've heard of some other projects that were working on similar things. I'm glad to see this getting some attention now.
charlie 2 years ago prev next
How does this affect the privacy of the data? Is it still secure while being used for training neural networks?
dave 2 years ago next
From what I've heard, the encryption techniques used in this approach do not compromise the privacy of the data.
evelyn 2 years ago prev next
I've been waiting for something like this! With all the recent concerns about data privacy, this is a step in the right direction.
frank 2 years ago next
That's a good point, evelyn. It's great to see that researchers are taking data privacy seriously.
grace 2 years ago prev next
How does this compare to other approaches for training neural networks on encrypted data? Are there any significant benefits?
harry 2 years ago next
From what I can tell, this approach seems to have several advantages over other methods. It maintains a high level of accuracy in the training process, while also being relatively efficient in terms of computation time.
inigo 2 years ago prev next
I'm curious to see how this plays out in real-world applications. How feasible is it to implement this on a large scale?
jane 2 years ago next
It's still early days, but from what I've seen, this approach seems to be relatively straightforward to implement. Of course, there may be some challenges as the scale of the data increases, but I'm optimistic that these can be overcome with careful design and engineering.
kevin 2 years ago prev next
This is definitely an exciting development! I'm looking forward to seeing where it leads.
lucy 2 years ago prev next
Are there any limitations to this approach? Are there certain types of data or neural network architectures that it doesn't work well with?
mike 2 years ago next
From what I can tell, the encryption techniques used in this approach are quite robust and can handle a wide range of data types and neural network architectures. However, there may be some edge cases where the performance is not as good, so more research is needed to fully understand the limitations of this approach.
nicole 2 years ago prev next
I'm glad to see researchers tackling these important issues. I hope this leads to a safer and more privacy-preserving neural network ecosystem.