3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Decoding the Legalese: A Scalable and Quantitative Framework for Analyzing Corporate Privacy Policies
Jiaming Tang, Chenlan Wang, Mingyan Liu +1
Even though privacy policies are the primary mechanism organizations use to disclose how they collect, process, and share personal data, they are difficult for average users to int…
Estimating the Social Cost of Corporate Data Breaches
Lina Alkarmi, Armin Sarabi, Mingyan Liu
While the size of a data breach is typically measured by the number of (consumer, customer, or user) records exposed or compromised, its economic impact is generally measured from…
Scoring the Unscorables: Cyber Risk Assessment Beyond Internet Scans
Armin Sarabi, Manish Karir, Mingyan Liu
In this paper we present a study on using novel data types to perform cyber risk quantification by estimating the likelihood of a data breach. We demonstrate that it is feasible to…
Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights
Jay Jacobs, Sasha Romanosky, Octavian Suciu +2
The number of disclosed vulnerabilities has been steadily increasing over the years. At the same time, organizations face significant challenges patching their systems, leading to…