Grant Year: 2018

January 14, 2020

Secure Machine Learning

We will study how to harden machine learning classifiers against adversarial attack. We will explore general mechanisms for making deep-learning classifiers more robust against attack, with a special focus on security for autonomous vehicles. Current schemes fail badly in the presence of an attacker who is trying to fool or…

January 14, 2020

Cybersecurity Toolkits for/of the Future: A Human-Centered Computing and Design Research Approach

The cybersecurity toolkit—collections of digital tools, tutorials, tips, best practices, and other recommendations—has emerged as a popular approach for preventing and addressing cybersecurity threats and attacks. Often these toolkits are oriented toward vulnerable populations who have unique and pressing needs related to cybersecurity but may not have access to the…

January 14, 2020

rIoT: Quantifying IoT Costs and Harms

As the proliferation of consumer Internet of Things (IoT) devices continues, so too do security problems that impact users, companies, and the Internet as a whole. But who is responsible when attacks from IoT-based threats like the Mirai Botnet cripple the Internet? This project examines the costs that insecure IoT…

January 14, 2020

The Role of Private Ordering in Cybersecurity: Towards A Cybersecurity License

The law governing the information economy is often not prescribed by legislators or courts, but rather by private entities using technology and standard-form contracts. This research proposal seeks to account for the often unobserved role of private ordering in the future of cybersecurity, and suggests that, similar to the revolutionary…

January 14, 2020

Secure Internet of Things for Senior Users

Older adults are increasingly involved in the use of emerging technologies, especially in the domain of healthcare. Examples include wearable devices for medical measurements, context-aware safety monitoring, fall sensors, and therapeutic robots. However, due to potentially limited technological literacy and high probability of physical or mental impairments, older adults are…

January 14, 2020

Security Implications of 5G Networks

5G wireless service promises to enable higher bandwidth, lower latency wireless services, not just for consumers, but also for enterprise and industrial assets. If 5G wireless networks are used to support societal infrastructures such as cities, vehicles, and industrial assets, these represent new dependencies, and the costs of outages or…

January 14, 2020

Statistical Foundations to Advance Provably Private Algorithms

In the past year, several major companies have deployed data processing systems based on differential privacy. These systems use mathematical techniques to limit the information that can be learned about individuals, but a number of limitations threaten the success of this approach. This research will bring statistical techniques to bear…

January 14, 2020

Uncovering the Risk Networks of Third-Party Data Sharing in China’s Social Credit System

China’s “social credit system” is a personal and behavioral data-driven effort to publicly rate the trustworthiness of individuals, drawing upon data from people’s social networks, online purchases, and video game consumption. Major cybersecurity risks are looming under the surface of social credit: as third-party services partner with Chinese tech firms…

January 14, 2020

Everyone Can Code? Race, Gender, and the American Learn to Code Discourse

Corporations, politicians, and educators alike have positioned computer programming as essential for individual job success, and teaching “underrepresented minorities” to code is also frequently offered as a solution for the often-problematic gender and racial politics of Silicon Valley corporations. This project examines the power relations of the learn-to-code trend, particularly…

January 14, 2020

Menstrual Biosensing Survival Guide

Biosensing technologies are increasingly present, predicting bodily or emotional health and offering promises of improved efficiency or personal wellness. Menstrual tracking apps, for example, encourage users to report intimate details, from the duration of periods, cervical mucus texture, emotional state, to sexual behavior. These apps offer benefits but also pose…