papers

Publications (6)

cs.CY2023

Can large language models democratize access to dual-use biotechnology?

Emily H. Soice, Rafael Rocha, Kimberlee Cordova +2

Large language models (LLMs) such as those embedded in 'chatbots' are accelerating and democratizing research by providing comprehensible information and expertise from many differ…

cs.AI2019

Explaining Explanations: An Overview of Interpretability of Machine Learning

Leilani H. Gilpin, David Bau, Ben Z. Yuan +3

There has recently been a surge of work in explanatory artificial intelligence (XAI). This research area tackles the important problem that complex machines and algorithms often ca…

cs.CR2025

Security and Privacy Analysis of Tile's Location Tracking Protocol

Akshaya Kumar, Anna Raymaker, Michael Specter

We conduct the first comprehensive security analysis of Tile, the second most popular crowd-sourced location-tracking service behind Apple's AirTags. We identify several exploitabl…

cs.NI2020

SonicPACT: An Ultrasonic Ranging Method for the Private Automated Contact Tracing (PACT) Protocol

John Meklenburg, Michael Specter, Michael Wentz +8

Throughout the course of the COVID-19 pandemic, several countries have developed and released contact tracing and exposure notification smartphone applications (apps) to help slow…

cs.CR2019

KeyForge: Mitigating Email Breaches with Forward-Forgeable Signatures

Michael Specter, Sunoo Park, Matthew Green

Email breaches are commonplace, and they expose a wealth of personal, business, and political data that may have devastating consequences. The current email system allows any attac…

cs.CR2026

Uncovering Relationships between Android Developers, User Privacy, and Developer Willingness to Reduce Fingerprinting Risks

Alex Berke, Güliz Seray Tuncay, Michael Specter +1

The major mobile platforms, Android and iOS, have introduced changes that restrict user tracking to improve user privacy, yet apps continue to covertly track users via device finge…