privacy - Publications - Faculty & Research

2023
Article

MoPe: Model Perturbation-based Privacy Attacks on Language Models

By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel

Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details

Keywords: Large Language Model; AI and Machine Learning; Cybersecurity

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October 2016 (Revised March 2018)
Teaching Note

Apple: Privacy vs. Safety? (A) and (B)

By: Nien-hê Hsieh, Henry McGee and Sarah McAra

Teaching Note for HBS No. 316-069. View Details

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2007
Working Paper

An Empirical Approach to Understanding Privacy Valuation

By: Luc Wathieu and Allan Friedman

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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

Web

Privacy Policy & Legal Info | HBS Online

Privacy Notice SMS Terms Terms of Use FERPA Community Values & Honor Code Trademark Notice Cookies Harvard Business School Online Privacy Notice If you have questions about this notice, our handling of your... View Details

26 May 2022
News

Apple vs. Feds: Is iPhone Privacy a Basic Human Right?

2005
Other Unpublished Work

An Empirical Approach to Understanding Privacy Valuation

By: Luc Wathieu and Allan Friedman

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13 Feb 2024
News

Apple’s Dilemma: Balancing Privacy and Safety Responsibilities

21 Feb 2010
News

Evil let loose after Google breaches email privacy

28 Nov 2014
News

Flat Organizations Like Zappos Need Pockets of Privacy

Keywords: leadership; employee management; innovation; holacracy; Retail Trade; Management, Scientific, and Technical Consulting Services; Professional Services

10 Jun 2010
News

Web Watchdogs Dig for Privacy Flaws, Bark Loud

16 Oct 2015
News

We Say We Want Privacy Online, But Our Actions Say Otherwise

Web

GDPR & Other Data Privacy Laws | Information Technology

GDPR & Other Data Privacy Laws In the past few years, many countries and states have enacted laws to protect individuals' privacy. These laws cover any information that may be obtained when someone participates or interacts with a Harvard... View Details

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

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