Differentiable Economics for Randomized Affine Maximizer Auctions

no code implementations • 6 Feb 2022 • Michael Curry, Tuomas Sandholm, John Dickerson

We present an architecture that supports multiple bidders and is perfectly strategyproof, but cannot necessarily represent the optimal mechanism.

Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning

no code implementations • 3 Jan 2022 • Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng

We validate the learned solutions are $\epsilon$-meta-equilibria through best-response analyses, show that they align with economic intuitions, and show our approach can learn a spectrum of qualitatively distinct $\epsilon$-meta-equilibria in open RBC models.

Multi-agent Reinforcement Learning reinforcement-learning

Certified Watermarks for Neural Networks

no code implementations • 1 Jan 2021 • Arpit Amit Bansal, Ping-Yeh Chiang, Michael Curry, Hossein Souri, Rama Chellappa, John P Dickerson, Rajiv Jain, Tom Goldstein

Watermarking is a commonly used strategy to protect creators' rights to digital images, videos and audio.

Detection as Regression: Certified Object Detection with Median Smoothing

no code implementations • NeurIPS 2020 • Ping-Yeh Chiang, Michael Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein

Despite the vulnerability of object detectors to adversarial attacks, very few defenses are known to date.

Object Detection

Improving Policy-Constrained Kidney Exchange via Pre-Screening

1 code implementation • NeurIPS 2020 • Duncan C McElfresh, Michael Curry, Tuomas Sandholm, John P Dickerson

In barter exchanges, participants swap goods with one another without exchanging money; exchanges are often facilitated by a central clearinghouse, with the goal of maximizing the aggregate quality (or number) of swaps.