One of our previous projects explored how flaws in the design and implementation of systems can introduce “weird machines” that make them vulnerable to exploitation. Now we have begun a follow-up project, Synthesizing Evidence of Emergent Computation (SEEC). SEEC is part of DARPA’s Artificial Intelligence Mitigations of Emergent Execution (AIMEE) program, whose goal is to […]
We wanted to update our April 2020 blog post which discussed the goal of creating open and accessible COVID 19 data models. I’m pleased to report that Galois’s Agile Metamodel Inference using Domain-specific Ontological Languages (AMIDOL) project began its third phase in May 2020. The entire AMIDOL project has been a great success. The project funding […]
I’m happy to share something new the Galois cryptography verification team is working on in collaboration with the Ethereum Foundation, Protocol Labs, and Supranational. However, I’m sorry to inform you that Galois has sold out to dramatic live-blogging. We’ve sold out so much that I, unrequested by anyone, took the liberty of making us a […]
Abstract: Secure multi-party computation (MPC) allows multiple parties, each holding private data that they are unwilling to share, to collaborate to perform computations over their data, while revealing nothing other than the result. The theory behind secure computation is already 35 years old, but in the last 15 years researchers in the field have demonstrated […]
A zero-knowledge proof (ZKP) is a mathematical tool that provides irrefutable proof of a claim’s validity, without revealing anything else about the claim or the data used to prove it. Today, the application of ZKPs often gravitates towards cryptocurrency transactions, where they can be used to prove that a transaction is valid without revealing details […]
The slides can be downloaded here. Abstract: In the real world, people join humanity, grow up trusting very different quorums from one another, and they may change their quorums with time. In technical terms we could call this an open permissionless system with mutable local quorums. One might expect such a system to be a […]
Since the onset of working remotely, we’ve built a program at Galois called Coffeebot to help facilitate virtual “coffee chats” in support of maintaining our culture through spontaneous exchanges. Today we’re releasing Coffeebot, and we’re happy to share it along with simple instructions on how to set-up your own! Percolating the idea As a result […]
Machine learning has revolutionized cyber-physical systems (CPS) in multiple industries – in the air, on land, and in the deep sea. And yet, verifying and assuring the safety of advanced machine learning is difficult because of the following reasons: State-Space Explosion: Autonomous systems are characteristically adaptive, intelligent, and/or may incorporate learning capabilities. Unpredictable Environments: The […]
Abstract: Increasing set of functionalities, network interoperability, and system design complexity have introduced easily exploitable security vulnerabilities in cyber-physical systems (CPS). Furthermore, the tight interaction between information technology and physical world, as well as the rising levels of autonomy, make these systems vulnerable to attacks beyond the standard cyber-attacks; relying exclusively on conventional security techniques […]
In 2019, Galois and its spinout Tangram Flex were awarded a $5 million contract for the DARPA I2O Cyber Assured Systems Engineering (CASE) program. We wanted to present an update for the project’s progress. Introducing Cyber-Assured Plugins to embedded computer systems “The problem is not in our stars … but in ourselves,” is a paraphrase […]
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