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Identifying Trojans in AI
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With the rise of adversarial AI, government researchers are looking for ways to automatically inspect artificial intelligence and machine learning systems to see if they've been tampered with. [...] The Army Research Office and the Intelligence Advanced Research Projects Activity are investigating techniques to spot and stop these Trojans in AI systems. Given the impossibility of cleaning and securing the entire training data pipeline, the broad agency announcement for the TrojAI program is looking to develop software to automatically inspect AI and predict if it has a Trojan. [...] Initial concept papers are due May 31, and the highest ranked applicants will be invited to submit a full proposal. Read the full BAA here.
IARPA Expands Research on Protecting AI Systems from Tampering
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The U.S. government’s Intelligence Advanced Research Projects Activity (IARPA) is planning a pair of programs to prevent training data from being maliciously tampered with to turn artificial intelligence systems against their users.... One project, Trojans in Artificial Intelligence (TrojAI), seeks to create a warning system for machine-learning algorithm training data compromised by an adversary. That project was originally announced in December [2018], and industry has provided feedback on it. Details of the second project will be revealed in a draft announcement later this year, but [IARPA Director Stacey] Dixon said that it will focus on protecting the identity of people whose images have been used to train facial biometric algorithms.
To upgrade quantum computers, researchers look to materials science
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For decades, theoretical physicists and computer scientists have been compiling evidence that quantum computers will eventually leave our current top-of-the-line supercomputers in the dust…. Quantum computers have been limited to simple problems because of their hardware. The basic elements of quantum circuits, called qubits (for quantum bits), are still highly error prone. Truly useful quantum computers will probably need millions of robust qubits, a far cry from the tens of qubits operating in today’s machines. And if the ones we have today are misfiring, there’s no hope of a million-qubit system calculating anything with certainty. So scientists and engineers like Hong are shouldering the responsibility of building a better qubit.
“A qubit uses quantum mechanical phenomena to do things with information you can’t otherwise do,” says Brad Blakestad, a program manager for quantum computing at the Intelligence Advanced Research Projects Activity (IARPA).
Omnisense: U.S. Intelligence-Backed Startup Claims It Can Predict Cyberattacks Days Before They Happen
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What if you could be warned about a scam email even before it arrived in your inbox? And what if you could be told exactly what it would say and what it would do to you and your computer? Back in 2015, the Intelligence Advanced Research Projects Activity (IARPA), a research unit within the Office of the Director of National Intelligence, issued a call for anyone who could come up with novel, efficient ways to predict cyberattacks before they happened.
Rise of the double FELIX
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Advances in genetic manipulation have raised the possibility of a new kind of attack on our food supply. ... The Intelligence Advanced Research Projects Activity is sponsoring the FELIX program to develop a set of tools that would help us tell the difference between a naturally occurring pathogen and one that was engineered to cause harm.
IARPA Announces the UG2+ Prize Challenge to Improve UAV-Captured Imagery
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The Intelligence Advanced Research Projects Activity (IARPA), within the Office of the Director of National Intelligence, today announced the UG2+ Prize Challenge, a competition that leverages a unique computer vision dataset of unmanned aerial vehicle, glider, and ground (UG2) data.
IARPA Launches “Ithildin” Program to Improve Chemical Sampling and Filtering
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WASHINGTON – The Intelligence Advanced Research Projects Activity, within the Office of the Director of National Intelligence, announced today the launch of the Ithildin program to develop new sorbent capabilities for sample collection, large area protection, and “smart” filters.
