fawkes | privacy preserving tool against facial recognition systems | Privacy library

 by   Shawn-Shan Python Version: 1.0.4 License: BSD-3-Clause

kandi X-RAY | fawkes Summary

kandi X-RAY | fawkes Summary

fawkes is a Python library typically used in Security, Privacy, Deep Learning, Raspberry Pi applications. fawkes has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install fawkes' or download it from GitHub, PyPI.

:warning: Check out our MacOS/Windows Software on our official webpage. Fawkes is a privacy protection system developed by researchers at SANDLab, University of Chicago. For more information about the project, please refer to our project webpage. Contact us at fawkes-team@googlegroups.com. We published an academic paper to summarize our work "Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models" at USENIX Security 2020.
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            kandi-support Support

              fawkes has a medium active ecosystem.
              It has 4920 star(s) with 470 fork(s). There are 113 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 24 open issues and 131 have been closed. On average issues are closed in 82 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fawkes is 1.0.4

            kandi-Quality Quality

              fawkes has 0 bugs and 0 code smells.

            kandi-Security Security

              fawkes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fawkes code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fawkes is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fawkes releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              fawkes saves you 762 person hours of effort in developing the same functionality from scratch.
              It has 1755 lines of code, 81 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fawkes and discovered the below as its top functions. This is intended to give you an instant insight into fawkes implemented functionality, and help decide if they suit your requirements.
            • Run protection on images
            • Clips the image
            • Compute a single batch of images
            • Compute the attack score
            • Select target label
            • Predict embedding for images
            • L2 norm of x along axis
            • Predict a list of feature_ls
            • Align the faces of the image using aligner
            • Convert an image
            • Translate the UI
            • Protect images
            • Run the tool
            • Runs the protection
            • Runs the package
            • Load an extractor
            • Read the version string
            • Clips images
            Get all kandi verified functions for this library.

            fawkes Key Features

            No Key Features are available at this moment for fawkes.

            fawkes Examples and Code Snippets

            Fawkes-Crypto - zkSNARKs framework,Example
            Rustdot img1Lines of Code : 22dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            #[derive(Clone, Signal)]
            #[Value="MerkleProof"]
            pub struct CMerkleProof<'a, CS: ConstraintSystem, const L: usize> {
                pub sibling: SizedVec<'a, CS>, L>,
                pub path: SizedVec<'a, CS>, L>
            }
            
            
            pub fn c_poseidon_merkle_proof_r  
            How to use Python regex to select everything until pattern
            Pythondot img2Lines of Code : 23dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            ^\[headline\b[^][]*https?://[^][]*](?:\r?\n(?![\[headline]).*)*
            
            import re
            
            regex = r"^\[headline\b[^][]*https?://[^][]*](?:\r?\n(?![\[headline]).*)*"
            
            s = ("[headline - https://prachatai.com/journal/2020/10/89984]\

            Community Discussions

            QUESTION

            Error while downloading the requirements using pip install (setup command: use_2to3 is invalid.)
            Asked 2022-Mar-05 at 07:13

            version pip 21.2.4 python 3.6

            The command:

            ...

            ANSWER

            Answered 2021-Nov-19 at 13:30

            It looks like setuptools>=58 breaks support for use_2to3:

            setuptools changelog for v58

            So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.

            I was having the same problem, pip==19.3.1

            Source https://stackoverflow.com/questions/69100275

            QUESTION

            R function to retrieve last seen information for individuals
            Asked 2020-Dec-04 at 03:59

            I have a dataset with observations of individuals every day from 2015 to 2020. I have a function that gives me the list of "assumed alive" from a chosen date (individuals that have been seen this year) with their ID's and their last seen date.

            ...

            ANSWER

            Answered 2020-Dec-04 at 03:59

            You can select the columns that you want to keep.

            Source https://stackoverflow.com/questions/65121693

            QUESTION

            R function to search for potentially dead individuals in dataset
            Asked 2020-Dec-02 at 22:07

            I have a dataset with observations of individuals every day from 2015 to 2020. I want to ask R to give me "assumed dead" (individuals that haven't been seen for a year). Is there a function where I can ask who is assumed dead this month? For example I want to enter the month and the year and then R print me the list of all assumed dead this month (or at a specific date as I also have the date column).

            Here is a subset of my dataset

            ...

            ANSWER

            Answered 2020-Dec-02 at 05:43
            your_date <- as.Date('2020-12-01')
            date_diff <- your_date - as.Date(BIRD_data$Date)
            BIRD_data[date_diff>365,]
            

            Source https://stackoverflow.com/questions/65102744

            QUESTION

            How to use Python regex to select everything until pattern
            Asked 2020-Oct-20 at 06:07

            When I have an input like this

            ...

            ANSWER

            Answered 2020-Oct-20 at 02:44

            You could use positive lookahead.

            If you change [^\[$]* to [^$]* to not match square bracket and add (?=\[headline) what means "match everything what is followed by [headline", so you'll get the expected output.

            https://regex101.com/r/GMtEQS/3

            The main issue - you'll never get the last block that way. I'm not sure how to overcome this.

            https://regex101.com/r/GMtEQS/4

            But we are using python, yes? What if use re.split? Split the whole text by headlines and process every chunk in python.

            main.py

            Source https://stackoverflow.com/questions/64437076

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install fawkes

            If you don't have root privilege, please try to install on user namespace: pip install --user fawkes.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install fawkes

          • CLONE
          • HTTPS

            https://github.com/Shawn-Shan/fawkes.git

          • CLI

            gh repo clone Shawn-Shan/fawkes

          • sshUrl

            git@github.com:Shawn-Shan/fawkes.git

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