Differential privacy

Additive noise mechanisms

Adding controlled noise from predetermined distributions is a way of designing differentially private mechanisms. This technique is useful for designing private mechanisms for real-valued functions on sensitive data. Some commonly used distributions for adding noise include Laplace and Gaussian distributions. (Wikipedia).

Additive noise mechanisms
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Discrete noise filters

I discuss causal and non-causal noise filters: the moving average filter and the exponentially weighted moving average. I show how to do this filtering in Excel and Python

From playlist Discrete

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Signal reconstruction

A discrete signal has to be reconstructed to get back into the continuous domain.

From playlist Discrete

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Ex: Inverse Variation Application - Loudness and Distance

This video provides an inverse variation example relating the loudness in decibels and the distance from a sound source. Library: http://mathispower4u.com Search: http://mathispower4u.wordpress.com

From playlist Solving Direct and Inverse Variation Problems

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Sound vs. Noise: What’s the Actual Difference? (Part 1 of 3)

Noise and sound are not the same thing… really, they aren’t! What exactly is noise? Part 2 of 3 - https://youtu.be/XhFhK97hrdY Part 3 of 3 - https://youtu.be/yTyYZFcxGGQ Read More: Signal-to-Noise Ratio and Why It Matters https://www.lifewire.com/signal-to-noise-ratio-3134701 “You

From playlist Seeker Plus

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HOW IT WORKS: Acoustics

The basic principles using environmental noise from city traffic as an example are explained.

From playlist HOW IT WORKS

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What is Sound? - Quickly Discover What Sound Really Is

What is Sound? This simple demonstration visually shows how sound waves are produced from a vibrating surface. A frequency generator is hooked up to a power amplifier, and the resultant signal is used to drive a loudspeaker. The signal is also sent to an oscilloscope. After listen

From playlist Physics Demonstrations

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Differentially Private Algorithms: Some Primitives and Paradigms - Kunal Talwar

Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on http://video.ias.edu

From playlist Differential Privacy Symposium - November 12, 2016

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Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith (BU)

A Google TechTalk, presented by Adam Smith, 2021/11/9 ABSTRACT: Differentially Private Covariance-Adaptive Mean Estimation Covariance-adaptive mean estimation is a fundamental problem in statistics, where we are given n i.i.d. samples from a d-dimensional distribution with mean $\mu$ and

From playlist 2021 Google Workshop on Federated Learning and Analytics

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Show Me Some Science! Speed Of Sound

Sound is a wave which travels through the air at about 330 m/s. The Little Shop of Physics Crew dances to the music together. When spread out along the track, it takes about a third of a second for the sound to travel from the first person to the last. The crew is blindfolded, so there are

From playlist Show Me Some Science!

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Synchronization of Cilia and Flagella - 2 by Benjamin Friedrich

DISCUSSION MEETING : THIRSTING FOR THEORETICAL BIOLOGY (ONLINE) ORGANIZERS : Vaishnavi Ananthanarayanan (UNSW & EMBL Australia), Vijaykumar Krishnamurthy (ICTS-TIFR, India) and Vidyanand Nanjundiah (Centre for Human Genetics, India) DATE : 11 January 2021 to 22 January 2021 VENUE : Online

From playlist Thirsting for Theoretical Biology (Online)

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Sound waves interference!

In this video i demonstrate sound waves interference and standing waves from loudspeaker used sound sensor. The frequency on loudspeaker is about 5500Hz. Enjoy!!!

From playlist WAVES

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How to make quieter airplanes

Subscribe to Stanford Engineering's The Future of Everything podcast: https://the-future-of-everything-stanford-engineering.simplecast.com/ A Stanford professor explains how fluid mechanics can help decrease the sound generated by airplanes. Since they were invented more than a century a

From playlist The Future of Everything

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Macroscopic fluctuation theory (Lecture - 03) by Tridib Sadhu

Bangalore School on Statistical Physics - VIII DATE: 28 June 2017 to 14 July 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru This advanced level school is the eighth in the series. This is a pedagogical school, aimed at bridging the gap between masters-level courses and topics in s

From playlist Bangalore School on Statistical Physics - VIII

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Nexus Trimester - Adam Smith (Penn State) - 3/3

Differential Privacy, the Tutorial - 3/3 Adam Smith (Penn State) March 30, 2016 Abstract: The tutorial will introduce differential privacy, a widely used definition of privacy for statistical databases. We will begin with the motivation for rigorous definitions of privacy in statistical

From playlist Nexus Trimester - 2016 - Secrecy and Privacy Theme

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How to Use a Kalman Filter in Simulink | Understanding Kalman Filters, Part 6

Download our Kalman Filter Virtual Lab to practice linear and extended Kalman filter design of a pendulum system with interactive exercises and animations in MATLAB and Simulink: https://bit.ly/3g5AwyS This video demonstrates how you can estimate the angular position of a simple pendulum

From playlist Understanding Kalman Filters

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Living and Driven Matter by Sriram Ramaswamy

ICTS at Ten ORGANIZERS: Rajesh Gopakumar and Spenta R. Wadia DATE: 04 January 2018 to 06 January 2018 VENUE: International Centre for Theoretical Sciences, Bengaluru This is the tenth year of ICTS-TIFR since it came into existence on 2nd August 2007. ICTS has now grown to have more tha

From playlist ICTS at Ten

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Introduction to Frequency Selective Filtering

http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Separation of signals based on frequency content using lowpass, highpass, bandpass, etc filters. Filter g

From playlist Introduction to Filter Design

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Analog vs. Digital Epsilons: Implementation Considerations Considerations for Differential Privacy

A Google TechTalk, presented by Olya Ohrimenko, 2021/11/17 Differential Privacy for ML series.

From playlist Differential Privacy for ML

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Quantum Metrology and Gravitational Wave Detectors by Yanbei Chen

DISCUSSION MEETING THE FUTURE OF GRAVITATIONAL-WAVE ASTRONOMY ORGANIZERS : Parameswaran Ajith, K.G. Arun, B.S. Sathyaprakash, Tarun Souradeep and G. Srinivasan DATE : 19 August 2019 to 22 August 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This discussion meeting, or

From playlist The Future of Gravitational-wave Astronomy 2019

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Waves 4_2 Sources of Musical Sounds

Problems dealing with musical sounds.

From playlist Physics - Waves

Related pages

Laplace distribution | Norm (mathematics) | Normal distribution | Differential privacy