47 citations · 120 across the 9 of their papers we have counts for
12 papers
ATLAS: Automatically Detecting Discrepancies Between Privacy Policies and Privacy Labels
Akshath Jain, David Rodriguez, Jose M. del Alamo +1
Privacy policies are long, complex documents that end-users seldom read. Privacy labels aim to ameliorate these issues by providing succinct summaries of salient data practices. In…
Exploring Smart Commercial Building Occupants' Perceptions and Notification Preferences of Internet of Things Data Collection in the United States
Tu Le, Alan Wang, Yaxing Yao +4
Data collection through the Internet of Things (IoT) devices, or smart devices, in commercial buildings enables possibilities for increased convenience and energy efficiency. Howev…
Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision
Yuanyuan Feng, Abhilasha Ravichander, Yaxing Yao +2
We present a study of privacy attitudes and behaviors of people who are blind or low vision. Our study involved in-depth interviews with 21 US participants. The study explores thei…
Creation and Analysis of an International Corpus of Privacy Laws
Sonu Gupta, Ellen Poplavska, Nora O'Toole +4
The landscape of privacy laws and regulations around the world is complex and ever-changing. National and super-national laws, agreements, decrees, and other government-issued rule…
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen, Fei Fang, Norman Sadeh
Traffic signal control (TSC) is a high-stakes domain that is growing in importance as traffic volume grows globally. An increasing number of works are applying reinforcement learni…
Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates
Shikun Zhang, Yan Shvartzshnaider, Yuanyuan Feng +2
We present an empirical study exploring how privacy influences the acceptance of vaccination certificate (VC) deployments across different realistic usage scenarios. The study empl…
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
Siddhant Arora, Danish Pruthi, Norman Sadeh +3
In attempts to "explain" predictions of machine learning models, researchers have proposed hundreds of techniques for attributing predictions to features that are deemed important.…
Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA
Rex Chen, Fei Fang, Thomas Norton +2
Vagueness and ambiguity in privacy policies threaten the ability of consumers to make informed choices about how businesses collect, use, and share their personal information. The…
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
Abhilasha Ravichander, Alan W Black, Shomir Wilson +2
Privacy policies are long and complex documents that are difficult for users to read and understand, and yet, they have legal effects on how user data is collected, managed and use…
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh +2
Natural language inference (NLI) is the task of determining if a natural language hypothesis can be inferred from a given premise in a justifiable manner. NLI was proposed as a ben…
Toward Abstractive Summarization Using Semantic Representations
Fei Liu, Jeffrey Flanigan, Sam Thomson +2
We present a novel abstractive summarization framework that draws on the recent development of a treebank for the Abstract Meaning Representation (AMR). In this framework, the sour…
What do they know about me? Contents and Concerns of Online Behavioral Profiles
Ashwini Rao, Florian Schaub, Norman Sadeh
Data aggregators collect large amount of information about individual users and create detailed online behavioral profiles of individuals. Behavioral profiles benefit users by impr…