77 citations · 127 across the 6 of their papers we have counts for
7 papers
Demonstrations of the Potential of AI-based Political Issue Polling
Nathan E. Sanders, Alex Ulinich, Bruce Schneier
Political polling is a multi-billion dollar industry with outsized influence on the societal trajectory of the United States and nations around the world. However, it has been chal…
Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Fredrik Heiding, Bruce Schneier, Arun Vishwanath +2
AI programs, built using large language models, make it possible to automatically create phishing emails based on a few data points about a user. They stand in contrast to traditio…
Bugs in our Pockets: The Risks of Client-Side Scanning
Hal Abelson, Ross Anderson, Steven M. Bellovin +11
Our increasing reliance on digital technology for personal, economic, and government affairs has made it essential to secure the communications and devices of private citizens, bus…
Machine Learning Featurizations for AI Hacking of Political Systems
Nathan E Sanders, Bruce Schneier
What would the inputs be to a machine whose output is the destabilization of a robust democracy, or whose emanations could disrupt the political power of nations? In the recent ess…
Legal Risks of Adversarial Machine Learning Research
Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier +1
Adversarial Machine Learning is booming with ML researchers increasingly targeting commercial ML systems such as those used in Facebook, Tesla, Microsoft, IBM, Google to demonstrat…
Privacy threats in intimate relationships
Karen Levy, Bruce Schneier
This article provides an overview of intimate threats: a class of privacy threats that can arise within our families, romantic partnerships, close friendships, and caregiving relat…