A New Era
of Data Protection
Differential Privacy Methodology
Grant access to full data
Unlock previously off-reach data by giving
users access with Differential Privacy for
Eliminate the grey area
Achieve automated privacy at the output level,
providing secure access to third parties, and enabling
the analysis of even the most sensitive data such as
locations, financial, and healthcare information.
How does it work?
for all female employees
the highest salary
SELECT AVG (Salary)
WHERE Gender == ’Female’;
SELECT EmployeeName, JobTitle, Salary
ORDER BY Salary DESC
Full SQL Support
Shifting the Paradigm
PVML incorporates beyond state-of-the-art research
objectives alongside software engineering in order to
provide cutting-edge Differential Privacy (DP) algorithms.
vs. Data Protection
Differential privacy balances information needs with
the risk of exposing sensitive data, enabling
meaningful analysis while safeguarding critical details
to Attribute Inference
DP treats all data columns as sensitive, preventing
attackers from inferring private information about an
individual by combining different non-sensitive pieces.
The ‘post-processing immunity’ of DP offers a strong
defense against adversaries trying to deduce
sensitive information from analysis outputs, even with
access to auxiliary data.
The European Data Protection Board’s Article 29 has
affirmed that DP is the sole method for achieving true
anonymization after reviewing 7 approaches.
The information we gather using Differential Privacy helps us improve our services without compromising individual privacy … Analysis happens only after the data has gone through privacy-enhancing techniques like Differential Privacy. Learn More
We are continually expanding our Differential Privacy technology across our products including Google Maps and the Assistant … Last year we published our COVID-19 reports which use Differential Privacy to help public health officials, economists and policymakers. Learn More
How do we create ML models that preserve the privacy of individuals while including the broadest possible data? Differential Privacy simultaneously enables researchers and analysts to extract useful insights … and offers stronger privacy protections. Learn More