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Show Results For
- All HBS Web
(513)
- News (110)
- Research (234)
- Events (3)
- Multimedia (12)
- Faculty Publications (148)
- 21 May 2010
- News
Facebook, MySpace Confront Privacy Loophole
- 21 Oct 2010
- News
Harvard Business School Faculty on Facebook and Privacy
- 27 Feb 2019
- News
Privacy in the Digital Age: An Interview with Leslie John
- Web
Data Privacy Statement (MENA) - Global
Middle East & North Africa Dubai, Istanbul, Tel Aviv Data Privacy Statement Pursuant to Law No. 6698 on the Protection of Personal Data of Turkey (hereinafter “Law”) entered into force on April 7, 2016 after its publication in the... View Details
- Web
Privacy - HBS Working Knowledge
About Us Linking Policy Privacy Policy Harvard Business School and HBS Working Knowledge understand that the privacy of its users is important. To that end, we have adopted the following policy with regard... View Details
- Article
Facebook Knows It Can't Offer More Privacy
Kominers, Scott Duke. "Facebook Knows It Can't Offer More Privacy." Bloomberg View (April 26, 2018).
- Web
Security & Privacy | Information Technology
Security & Privacy We all have a role to play in protecting Harvard Business School’s (HBS’s) data and systems—and our own. Practicing good security habits is always important, especially so in times of heightened risk. The following... View Details
- Web
Privacy Statement (French) - Global
POLITIQUE GLOBALE DE PROTECTION DE LA VIE PRIVÉE ET DES DONNÉES PERSONNELLES du Centre de Recherche Européen de la Harvard Business School INTRODUCTION Le présent document est la politique globale de protection de la vie privée et des données personnelles du Centre de... View Details
- 27 May 2021
- News
Facebook-backed report calls Apple privacy features anticompetitive
- October 1991 (Revised October 1993)
- Case
Equifax: Privacy in the Information Age
By: Lynn S. Paine
Paine, Lynn S. "Equifax: Privacy in the Information Age." Harvard Business School Case 392-028, October 1991. (Revised October 1993.)
- 02 Dec 2010
- News
Facebook Seeks Friends in Washington as Privacy Concerns Mount
- 04 Jun 2024
- News
Navigating Consumer Data Privacy in an AI World
- 2023
- Working Paper
Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation
By: Sam (Ruiqing) Cao and Marco Iansiti
The increasing availability of data can afford dynamic competitive advantages among data-intensive
corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks.
We analyze the role of two technological features of data... View Details
Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation
Cao, Sam (Ruiqing), and Marco Iansiti. "Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation." Harvard Business School Working Paper, No. 21-122, May 2021. (Revised November 2023.)
- Web
Information Security & Privacy Policy | About
Information Security & Privacy Policy Protecting Harvard's data is a responsibility shared by all members of the HBS community. Faculty and staff must educate themselves on how to recognize and protect the information entrusted to us,... View Details
- September 2022 (Revised July 2023)
- Case
Data Privacy in Practice at LinkedIn
Bojinov, Iavor, Marco Iansiti, and Seth Neel. "Data Privacy in Practice at LinkedIn." Harvard Business School Case 623-024, September 2022. (Revised July 2023.)
- 16 Sep 2014
- News
Big Data: Blending Transparency and Privacy
- 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
Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 17 Sep 2014
- News