Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The crash in the price of Bitcoin is unsettling many investors. However, experts do not see a fundamental crisis behind the fall. The greater threat to the cryptocurrency could one day come from ...

Researchers from MIT CSAIL and Purdue University have proposed a new automated framework for privatizing black-box machine learning algorithms using PAC Privacy, a ...

Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...

Keeping sensitive data safe in artificial intelligence (AI) systems is a big challenge. While there are ways to protect personal information—like home addresses or medical records—these privacy tools ...

CAMBRIDGE, MA – Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — ...

Abstract: The Gale-Shapley algorithm solves the problem of stable pair formation across various fields including economics, labor markets, biology, computer science, and physics. This study modifies ...

Computing sensitivities is an important computational tool for uncertainty analysis, design optimization, and inversion. These sensitivities are derivatives of user specified quantities of interest ...