Metadata-Version: 2.1
Name: pld_accountant
Version: 0.12.0
Summary: PLD accountant
Home-page: https://github.com/DPBayes/PLD-Accountant
Author: Antti Koskela
Author-email: anttik123@gmail.com
License: UNKNOWN
Description: # PLD-Accountant
        
        Python code for computing exact DP-guarantees for the subsampled Gaussian mechanism.  
        
        The method is described in:
        
        Antti Koskela, Joonas Jälkö, Antti Honkela:  
        Computing Exact Guarantees for Differential Privacy  
        https://arxiv.org/abs/1906.03049  
        
        # Usage
        
        You can download a PyPI package
        
        
        ```
        pip3 install pld-accountant
        ```
        
        and run, for example,
        
        ```
        from pld_accountant import compute_eps,compute_delta
        
        q=0.01
        sigma=1.2
        nc=1000 #number of compositions
        
        delta=1e-5
        
        a  = compute_eps.get_epsilon_bounded(q=q,sigma=sigma,target_delta=delta,ncomp=nc)
        
        eps=2.0
        
        d  = compute_delta.get_delta_bounded(q=q,sigma=sigma,target_eps=eps,ncomp=nc)
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
