Robustness between the worst and average case

As machine learning systems become increasingly implemented in safety-critical applications, such as autonomous driving and healthcare, we need to ensure these systems are reliable and trustworthy. For example, we might wish to determine whether a car’s camera-based autopilot sys…

Classification with Strategically Withheld Data

This blog post is based on a research paper with the same title, authored by Anilesh Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, and Vincent Conitzer, published at AAAI 2021. TL;DR: We investigate a classification problem where each data point being classified is controll…

Time-Traveling Simulation for Security

Blockchains are a powerful technology which allow decentralized agreement with an immutable history. Since transactions can be added, but not removed, blockchains allow distributed banking as a trustworthy alternative to central banking. A vast amount of cryptographic research on…