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  • 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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  • 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... View Details
  • 26 May 2022
  • News

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

  • Article

Uninformed Consent

By: Leslie K. John
Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy? View Details
Keywords: Personal Data; Privacy; Customers; Analytics and Data Science; Ethics; Governing Rules, Regulations, and Reforms
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  • 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... View Details
  • Web

Privacy Policy & Legal Info | HBS Online

your request in our Support Portal . This Privacy Notice (“Notice”) explains the data privacy practices of Harvard Business School Online (“HBS Online”, "we”, “us”, or “our”)... View Details
  • January 2016
  • Case

Acxiom

By: John Deighton
Acxiom built the market for personal data, yet sales have been flat for a decade during which marketing's appetite for data has exploded. Will the acquisition of a digital data onboarder LiveRamp give marketers what they want from a data broker? View Details
Keywords: Big Data; Direct Marketing; Personal Data; Privacy; Digital Marketing; Retargeting; Rights; Analytics and Data Science; Ethics; Marketing; United States
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  • September 2015
  • Article

Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago

By: Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnke, John Eric Humphries, Scott Duke Kominers and et al.
Objective
To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical... View Details
Keywords: Information; Customers; Safety; Rights; Ethics; Entrepreneurship; Health Care and Treatment; Health Industry; Chicago
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  • November 2023
  • Article

Federated Electronic Health Records for the European Health Data Space

By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
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  • October 2019 (Revised January 2020)
  • Case

Fixing Facebook: Fake News, Privacy, and Platform Governance

By: David Yoffie and Daniel Fisher
Mark Zuckerberg founded Facebook based on the idea that connecting people was a fundamentally good thing—and a way to turn a handsome profit. But from the beginning, Facebook received criticism both for how it handled user privacy and how it curated user-generated... View Details
Keywords: Platform; Governance; Privacy; Internet and the Web; Corporate Governance; Ethics; Business and Government Relations; Strategy; Digital Platforms; Web Services Industry
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  • March 2024 (Revised May 2024)
  • Case

Amperity: First-Party Data at a Crossroads

By: Elie Ofek, Hema Yoganarasimhan and Alexis Lefort
In the summer of 2023, Amperity management was facing a critical decision on its future direction. Given the dramatic changes occurring within the digital advertising ecosystem, as concerns over consumer privacy placed limits on the ability to engage in third-party... View Details
Keywords: AI and Machine Learning; Technology Adoption; Business Strategy; Digital Marketing; Price; Product; Business or Company Management; Advertising Industry
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  • 2023
  • Working Paper

The Customer Journey as a Source of Information

By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
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  • 21 Jan 2020
  • Working Paper Summaries

The Impact of the General Data Protection Regulation on Internet Interconnection

Keywords: by Ran Zhuo, Bradley Huffaker, KC Claffy, and Shane Greenstein
  • September 19, 2017
  • Article

After Equifax Breach, Companies Advised to Review Open-Source Software Code

By: Ben DiPietro and Lou Shipley
It doesn’t make much sense: At a time when high-powered automated trading systems can execute stock sales in real time, some companies that rely on open-source software to help to run their businesses track their open-source use on spread sheets on paper.
Lou... View Details
Keywords: Software; Open-source; Security Vulnerabilities; Data Privacy; Hack; Applications and Software; Safety; Cybersecurity
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  • 2023
  • Working Paper

Black-box Training Data Identification in GANs via Detector Networks

By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
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  • 10 May 2018
  • News

Google sells the future, powered by your personal data

  • July 2018
  • Article

Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India

By: Satchit Balsari, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH and Tarun Khanna
In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world’s largest insurance program. To meet this target, the government will rely on technology to... View Details
Keywords: Health Information Exchange; India; Health APIs; Health Care and Treatment; Information; Analytics and Data Science; Information Technology; Health Industry; India
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  • 16 Nov 2010
  • Lessons from the Classroom

Data.gov: Matching Government Data with Rapid Innovation

to post on the site any government data that does not have national security or privacy concerns. That's a lot of data. Anything that can be put online should be put online." Pros And Cons In class,... View Details
Keywords: by Martha Lagace; Technology
  • Article

Big Other: Surveillance Capitalism and the Prospects of an Information Civilization

By: Shoshana Zuboff
This article describes an emergent logic of accumulation in the networked sphere, 'surveillance capitalism,' and considers its implications for 'information civilization.' The institutionalizing practices and operational assumptions of Google Inc. are the... View Details
Keywords: Surveillance Capitalism; Big Data; Google; Information Society; Privacy; Internet Of Everything; Rights; Economic Systems; Analytics and Data Science; Internet and the Web; Ethics
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  • Web

Protecting Data at HBS | Information Technology

Protecting Data at HBS Data Classification Levels ("DCL") To ensure a common understanding, Harvard uses a 5-step scale for data sensitivity. The higher the number, the more... View Details