Norman Sadeh

Norman Sadeh

Carnegie Mellon University

H-index: 85

North America-United States

About Norman Sadeh

Norman Sadeh, With an exceptional h-index of 85 and a recent h-index of 56 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Mobile & Pervasive Computing, Cyber Security, Online Privacy, Machine Learning, Human-AI Interaction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI Decision Aids--A Gig Driver Case Study

Personalized privacy assistant

Sharing is not always caring: Delving into personal data transfer compliance in Android apps

Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?

Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants

Comparing Privacy Label Disclosures of Apps Published in both the App Store and Google Play Stores

ATLAS: Automatically detecting discrepancies between privacy policies and privacy labels

Exploring Smart Commercial Building Occupants’ Perceptions and Notification Preferences of Internet of Things Data Collection in the United States

Norman Sadeh Information

University

Position

Professor of Computer Science

Citations(all)

25446

Citations(since 2020)

10549

Cited By

18784

hIndex(all)

85

hIndex(since 2020)

56

i10Index(all)

194

i10Index(since 2020)

111

Email

University Profile Page

Google Scholar

Norman Sadeh Skills & Research Interests

Mobile & Pervasive Computing

Cyber Security

Online Privacy

Machine Learning

Human-AI Interaction

Top articles of Norman Sadeh

Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI Decision Aids--A Gig Driver Case Study

arXiv preprint arXiv:2404.06432

2024/4/9

Personalized privacy assistant

2023/9/26

Sharing is not always caring: Delving into personal data transfer compliance in Android apps

IEEE Access

2024/1/3

David Rodriguez
David Rodriguez

H-Index: 1

Norman Sadeh
Norman Sadeh

H-Index: 50

Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?

2023/12/10

Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants

2024

Comparing Privacy Label Disclosures of Apps Published in both the App Store and Google Play Stores

2023/7/3

David Rodriguez
David Rodriguez

H-Index: 1

Norman Sadeh
Norman Sadeh

H-Index: 50

ATLAS: Automatically detecting discrepancies between privacy policies and privacy labels

2023/7/3

David Rodriguez
David Rodriguez

H-Index: 1

Norman Sadeh
Norman Sadeh

H-Index: 50

Exploring Smart Commercial Building Occupants’ Perceptions and Notification Preferences of Internet of Things Data Collection in the United States

2023/7/3

Alleviating Traffic Congestion: Developing and Evaluating Novel Multi-Agent Reinforcement Learning Traffic Light Coordination Techniques

2023/7/1

Fei Fang
Fei Fang

H-Index: 1

Norman Sadeh
Norman Sadeh

H-Index: 50

Do Privacy Labels Answer Users' Privacy Questions?

2023/2/27

Norman Sadeh
Norman Sadeh

H-Index: 50

Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision

2022/8/21

Creation and analysis of an international corpus of privacy laws

arXiv preprint arXiv:2206.14169

2022/6/28

Explain, edit, and understand: Rethinking user study design for evaluating model explanations

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

The real deal: A review of challenges and opportunities in moving reinforcement learning-based traffic signal control systems towards reality

2022/6/23

Stop the spread: A contextual integrity perspective on the appropriateness of covid-19 vaccination certificates

2022/6/20

Yuanyuan Feng
Yuanyuan Feng

H-Index: 4

Norman Sadeh
Norman Sadeh

H-Index: 50

Helping mobile application developers create accurate privacy labels

2022/6/6

Helping Mobile App Developers Create Accurate Privacy Labels

2022

How usable are ios app privacy labels?

Proceedings on Privacy Enhancing Technologies

2022/6/16

A tale of two regulatory regimes: Creation and analysis of a bilingual privacy policy corpus

LREC proceedings

2022/1

See List of Professors in Norman Sadeh University(Carnegie Mellon University)

Co-Authors

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