Publications

Publications

Filter Results: (28) Arrow Down

Show Results For

Page 1 of 28 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • Article

Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM

By: Katrina Ligett, Seth Neel, Aaron Leon Roth, Bo Waggoner and Steven Wu
Traditional approaches to differential privacy assume a fixed privacy requirement ϵ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it... View Details
Keywords: Differential Privacy; Empirical Risk Minimization; Accuracy First
Related
  • Article

How to Use Heuristics for Differential Privacy

By: Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guarantees cannot be... View Details
Related
  • Article

The Role of Interactivity in Local Differential Privacy

By: Matthew Joseph, Jieming Mao, Seth Neel and Aaron Leon Roth
We study the power of interactivity in local differential privacy. First, we focus on the difference between fully interactive and sequentially interactive protocols. Sequentially interactive protocols may query users adaptively in sequence, but they cannot return to... View Details
Related
  • Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
Related
  • Mar 2020
  • Conference Presentation

A New Analysis of Differential Privacy's Generalization Guarantees

By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld
We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details
Keywords: Machine Learning; Transfer Theorem; Mathematical Methods
Related
  • Oct 2020
  • Conference Presentation

Optimal, Truthful, and Private Securities Lending

By: Emily Diana, Michael J. Kearns, Seth Neel and Aaron Leon Roth
We consider a fundamental dynamic allocation problem motivated by the problem of securities lending in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical copies of some scarce resource... View Details
Keywords: Differential Privacy; Mechanism Design; Finance; Mathematical Methods
Related
  • 2025
  • Working Paper

Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
Related
  • 19 May 2014
  • Research & Ideas

Why Companies Should Compete for Your Privacy

Consumers are increasingly wary about sharing personal information with firms. Yet when they benefit from providing information in exchange for lower prices or better services, many consumers will gladly make the privacy trade-off. But... View Details
Keywords: by Dina Gerdeman; Consumer Products
  • April 2021 (Revised March 2024)
  • Case

Social Media War 2021: Snap vs. Facebook vs. TikTok

By: David B. Yoffie and Daniel Fisher
This case explores the competitive war between Snap, Facebook, and TikTok in 2021. The strategic focus is on Snapchat: how should it respond to the emergence of TikTok, and how should it compete with the dominant competitor in its space—Facebook. The case examines... View Details
Keywords: Strategy Development; Competitor Analysis; Strategy; Network Effects; Competitive Strategy; Decision Choices and Conditions; Social Media
Related
  • Article

Oracle Efficient Private Non-Convex Optimization

By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
Related
  • Article

Adaptive Machine Unlearning

By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details
Keywords: Machine Learning; AI and Machine Learning
Related
  • 08 May 2007
  • First Look

First Look: May 8, 2007

occur relatively quickly when the underlying repugnance changes. Download the paper: http://www.hbs.edu/research/pdf/07-077.pdf An Empirical Approach to Understanding Privacy Valuation Authors:Luc Wathieu and Allan Friedman Abstract The... View Details
Keywords: Martha Lagace
  • Article

Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study

By: Noy Alon, Ariel Dora Stern and John Torous
BACKGROUND: As the development of mobile health apps continues to accelerate, the need to implement a framework that can standardize categorizing these apps to allow for efficient, yet robust regulation grows. However, regulators and researchers are faced with numerous... View Details
Keywords: Mobile Health; Smartphone; Food And Drug Administration; Risk-based Framework; Health Care and Treatment; Mobile and Wireless Technology; Applications and Software; Framework
Related
  • 22 Feb 2024
  • Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

Europe’s tougher data privacy regulations went into effect in 2018, they have created complications for companies worldwide. Questions around data privacy will likely become thornier as generative artificial... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • 09 Oct 2018
  • First Look

New Research and Ideas, October 9, 2018

process. Can algorithms, machine learning, and artificial intelligence help Tailor Brands outperform graphic designers and branding agencies in developing brand identities? And, can Tailor Brands differentiate itself from the many other... View Details
Keywords: Dina Gerdeman
  • 31 Jan 2022
  • Research & Ideas

Where Can Digital Transformation Take You? Insights from 1,700 Leaders

privacy and security. Social responsibility in the broadest sense, roundtable participants said, has become a competitive “must,” essential for attracting talent and building trust with customers. Six qualities of digitally mature... View Details
Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
  • 05 Feb 2013
  • First Look

First Look: Feb. 5

blended identity; thus, limiting the extent to which such organizations can truly "re-direct" future career choices. Strategic Orientations in a Competitive Context: The Role of Strategic Orientation Differentiation... View Details
Keywords: Sean Silverthorne
  • 16 May 2000
  • Research & Ideas

Getting the Message: How the Internet is Changing Advertising

outfit walked across the screen carrying a sign that pitched a product. These almost literal translations of billboard and magazine ads did little more than set the previous forms in motion. Silk: Issues of privacy will come under... View Details
Keywords: by Susan Young
  • 07 May 2020
  • Research & Ideas

The One Good Thing Caused by COVID-19: Innovation

businesses." At the same time, some market segments will continue to prefer the physical interactions embodied in the "old" model and will be willing to pay a premium for high-quality and safe physical consumption. Opportunities may abound in enhancing... View Details
Keywords: by Hong Luo and Alberto Galasso
  • 08 Sep 2020
  • Sharpening Your Skills

Capitalism Works Better When I Can See What You're Doing

to work in your favor for that next job. And privacy disclosure notices on websites, rather than convincing consumers that their private data is well protected, can make them less likely to make a purchase. Here is recent research on the... View Details
Keywords: by Sean Silverthorne

Are you looking for?

→Search All HBS Web