Rosetta | A Privacy-Preserving Framework Based on TensorFlow | Privacy library
kandi X-RAY | Rosetta Summary
kandi X-RAY | Rosetta Summary
Rosetta is a privacy-preserving framework based on TensorFlow. It integrates with mainstream privacy-preserving computation technologies, including cryptography, federated learning and trusted execution environment. Rosetta aims to provide privacy-preserving solutions for artificial intelligence without requiring expertise in cryptography, federated learning and trusted execution environment. Rosetta reuses the APIs of TensorFlow and allows to transfer traditional TensorFlow codes into a privacy-preserving manner with minimal changes. E.g., just add the following line. The current version integrates the secure multi-party computation protocols for 3 parties. The underlying protocol is SecureNN. It is secure in the semi-honest model with honest majority. And we are integrating more MPC protocols continuously.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Rosetta
Rosetta Key Features
Rosetta Examples and Code Snippets
fig, (ax1, ax2) = plt.subplots(1, 2)
fig.suptitle('Horizontally stacked subplots')
ax1.plot(x, y)
ax2.plot(x, -y)
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.imshow(dprof[0, :, :], extent=[-l, l, -l, l], interpolation
Community Discussions
Trending Discussions on Rosetta
QUESTION
I try to use Cypress for tests. With Laravel and Yarn as a package (v8.3.1) on MacBook with Apple M1 chip. Installation was ok, but all I can see after cypress open
is:
ANSWER
Answered 2021-Sep-08 at 06:46You can try installing it with the --force
flag
QUESTION
I just got my new MacBook Pro with M1 Max chip and am setting up Python. I've tried several combinational settings to test speed - now I'm quite confused. First put my questions here:
- Why python run natively on M1 Max is greatly (~100%) slower than on my old MacBook Pro 2016 with Intel i5?
- On M1 Max, why there isn't significant speed difference between native run (by miniforge) and run via Rosetta (by anaconda) - which is supposed to be slower ~20%?
- On M1 Max and native run, why there isn't significant speed difference between conda installed Numpy and TensorFlow installed Numpy - which is supposed to be faster?
- On M1 Max, why run in PyCharm IDE is constantly slower ~20% than run from terminal, which doesn't happen on my old Intel Mac.
Evidence supporting my questions is as follows:
Here are the settings I've tried:
1. Python installed by
- Miniforge-arm64, so that python is natively run on M1 Max Chip. (Check from Activity Monitor,
Kind
of python process isApple
). - Anaconda. Then python is run via Rosseta. (Check from Activity Monitor,
Kind
of python process isIntel
).
2. Numpy installed by
conda install numpy
: numpy from original conda-forge channel, or pre-installed with anaconda.- Apple-TensorFlow: with python installed by miniforge, I directly install tensorflow, and numpy will also be installed. It's said that, numpy installed in this way is optimized for Apple M1 and will be faster. Here is the installation commands:
ANSWER
Answered 2021-Dec-06 at 05:53Since the benchmark is running linear algebra routines, what is likely being tested here are the BLAS implementations. A default Anaconda distribution for osx-64 platform is going to come with Intel's MKL implementation; the osx-arm64 platform only has the generic Netlib BLAS and the OpenBLAS implementation options.
For me (MacOS w/ Intel i9), I get the following benchmark results:
BLAS Implmentation Mean Timing (s)mkl
0.95932
blis
1.72059
openblas
2.17023
netlib
5.72782
So, I suspect the old MBP had MKL installed, and the M1 system is installing either Netlib or OpenBLAS. Maybe try figuring out whether Netlib or OpenBLAS are faster on M1, and keep the faster one.
Specifying BLAS ImplementationHere are specifically the different environments I tested:
QUESTION
Has anyone gotten this error when importing psycopg2
after successful installation?
ANSWER
Answered 2022-Mar-23 at 02:21Using this line should fix it:
QUESTION
I am trying to run this reading-text-in-the-wild on Mac M1. When I attempt to run this code
...ANSWER
Answered 2022-Jan-17 at 17:39the package you are using is not compatible with the new mac hardware by the looks of it. You will need to run this using Rosetta 2, which is an apple system component.
QUESTION
I found a topic that encounter the same problem (Can't debug Golang in vscode apple m1) but I'm not sure it's an old solution or not because I'm using the Go version
...ANSWER
Answered 2021-Sep-27 at 22:37Ensure your VSCode uses the arm64 version. (it can use a different go version from the system)
Run Go: install/update tools. It will rebuild all tools with the arm64 go version.
QUESTION
I am working with X11 and want to perform a re-parent. I got an example hello world application from Rosetta Code in C. I made some modification to make it 2 windows.
...ANSWER
Answered 2022-Mar-06 at 19:55I just reproduced that behavior on my Linux machine.
The problem seems to be a timing problem between your program and the "Window manager".
The "Window manager" is the program which is responsible for drawing the title bar and maybe borders at the windows. The "Window manager" works like this:
Whenever a window is mapped on the root window, the "Window manager" is notified by X11. The "Window manager" creates an "outer window" that contains the title bar and the border. Then it reparents the window so the window becomes a child window of the "outer window".
Example:
If the "Window manager" handles some window after being mapped, it becomes a child window of the "outer window"; for this reason, any window that is not a child window of an "outer window" is obviously not handled by the "Window manager" if it is mapped.
... at least in the "normal case".
For this reason, the "Window manager" does not care about windows that are un-mapped on the root window (but only about windows that are un-mapped from an "outer window").
Normally, the "Window manager" behaves like this:
QUESTION
I haven't installed Rosetta on my M1 Macbook. Have Docker and all deps installed and this even worked a few times but not sure what caused this error suddenly:
...ANSWER
Answered 2022-Feb-10 at 21:10I can confirm that the gcr.io/google.com/cloudsdktool/cloud-sdk:slim
image used in your Dockerfile
is an x86_64 image, which is incompatible with an ARM64-based M1 Mac. Since CloudSDK does not currently have any ARM64-based images, creating your own base image with CloudSDK will be necessary. The steps to do that are:
- Update the line in your
Dockerfile
pointing togcr.io/google.com/cloudsdktool/cloud-sdk:slim
to a new base image (debian:buster-slim
for example) - Install the CloudSDK tooling onto the image. It should look something like this in your
Dockerfile
:
QUESTION
I can run the go files, but I can't debug them in vscode.
Error: "Failed to launch: could not launch process: can not run under Rosetta, check that the installed build of Go is right for your CPU architecture"
...ANSWER
Answered 2021-Oct-15 at 19:50I ran into this as well after an upgrade to an Apple with an M1. There are several steps toward diagnosing the root cause of the issue. The first is to check the version of Go you've got installed.
QUESTION
I am on an apple silicon M1 MacBook Pro. I would like to have a native ARM python environment, and an environment that runs on x86 architecture with rosetta 2. I have installed two mini forge distributions, both in the home directory: miniforge3
for the native ARM installation and miniforge3_x86_64
for the x86 installation.
ANSWER
Answered 2022-Jan-17 at 04:25So far, the best solution I've found is to start the terminal with Rosetta 2, then run a function I have saved in .zshrc
to initialize the correct conda installation so that I can use the correct architecture for my needs depending on the situation.
My current solution is the following function named x86:
QUESTION
You know the ARM-based M1 chips that are used in modern mac computers. On those macs, some number of software are ran through the layer called Rosetta
(Discord, Steam), some natively, directly through M1
(Slack, IntelliJ) and some actually doesn't work in either way (Virtual Box). Huge list holding the status can be found here.
Apps that can be ran only with Rosetta
are not yet M1
optimized, their developers have to optimize it, it takes some time to do so. But what does it mean to optimize it? What the process looks like? I'm quite sure that they don't rewrite the whole application code to another language (like Swift), because Jetbrains was able to M1
optimize their apps quite quickly. On the other hand, Discord is not yet optimized, same for Unity game engine (it's in beta though).
ANSWER
Answered 2021-Dec-10 at 20:38At bottom, it just means that the compiler's backend was configured to emit ARM64 instructions for the program instead of (or in-addition to) x86-64 instructions.
This means that certain x86-64 specific functionality instruction can no longer be used, unless equivalent ARM instructions are used instead.
This usually isn't much of a problem though, because most macOS software is typically written at a higher level of abstraction, using system-provided frameworks.
For example, using CoreImage to manipulate images abstracts you from the details of the CPU and GPU. In such cases, Apple does the heavy lifting of porting over their frameworks. All you have to do as an application developer is to check a box that says "target ARM64".
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Rosetta
To help you start with your first workable program with Rosetta easily, our Tutorials will lead you to this fantastic world. In this detailed tutorials, we will assist you learn the basic concepts about Rosetta, then show you how to use the interfaces that we provide by easy-to-understand examples, and finally help you build a workable privacy-preserving machine learning model on real-world datasets. Hopefully, this tutorial, and more other examples in Examples, will whet your appetite to dive in knowing more about this privacy-preserving framework.
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