U.S. Sanctions Two Crypto Exchanges for Facilitating Cybercrime and Money Laundering

On the same subject

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  November 1, 2023 | International, Naval, C4ISR

  Navy takes early steps with Australian, UK vendors on shared sub work

  The U.S. Navy is increasing its submarine work with Australian and British firms, even as it awaits passage of four key measures to enable AUKUS.

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  January 22, 2020 | International, Aerospace

  Leonardo flies new Falco Xplorer drone

  By: Tom Kington ROME — A new 24-hour-endurance drone built by Italy's Leonardo has made its maiden flight in trials run in cooperation with the Italian Air Force, the firm said. The Falco Xplorer, an evolution of earlier Falco models, flew for 60 minutes from Trapani Air Base in Sicily on Jan. 15 in a dedicated flying area before landing safely, Leonardo reported. First launched last year at the Paris Air Show, the Xplorer offers a maximum payload of 350kg, a maximum takeoff weight of 1.3 tons, and it can operate above 24,000 feet. The Italian firm is offering the drone with its Gabbiano T-80 radar, SAGE electronic-intelligence system, an electro-optical turret and a hyperspectral sensor for monitoring pollution and agriculture. Aimed at both civilian and military customers, the Xplorer will feature satellite navigation, while pending flight tests will aim to certify the aircraft to NATO'S STANAG 4671 standard. In its statement, Leonardo said the Xplorer was not subject to International Traffic in Arms Regulations (ITAR) restrictions, making it widely available for export around the world. The drone is the third evolution in the Falco family, which includes the Falco and the larger Falco EVO, which offers 15 hours endurance. Before its launch last year, Leonardo CEO Alessandro Profumo said the Xplorer will “overlap with the Predator A - it would be a new product for Predator A customers.” The UN and the European Union's frontier protection agency Frontex are among existing customers of the Falco, while national customers are thought to be Jordan, Saudia Arabia, Pakistan and Turkmenistan. https://www.defensenews.com/global/europe/2020/01/20/leonardo-flies-new-falco-xplorer-drone

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  December 31, 2018 | International, C4ISR

  US Spies Want to Know How to Spot Compromised AI

  BY DAVE GERSHGORN What if you were training an AI, and an adversary slipped a few altered images into its study set? The US government's research arm for intelligence organizations, IARPA, is looking for ideas on how to detect “Trojan” attacks on artificial intelligence, according to government procurement documents. Here's the problem the agency wants to solve: At a simple level, modern image-recognition AI learns from analyzing many images of an object. If you want to train an algorithm to detect pictures of a road signs, you have to supply it with pictures of different signs from all different angles. The algorithm learns the relationships between the pixels of the images, and how the structures and patterns of stop signs differ from those of speed-limit signs. But suppose that, during the AI-training phase, an adversary slipped a few extra images (Trojan horses) into your speed-limit-sign detector, ones showing stop signs with sticky notes on them. Now, if the adversary wants to trick your AI in the real world into thinking a stop sign is a speed-limit sign, it just has to put a sticky note on it. Imagine this in the world of autonomous cars; it could be a nightmare scenario. The kinds of tools that IARPA (Intelligence Advanced Research Projects Activity) wants would be able to detect issues or anomalies after the algorithm has been trained to recognize different objects in images. This isn't the only kind of attack on AI that's possible. Security researchers have also warned about inherent flaws in the way artificial intelligence perceives the world, making it possible to alter physical objects like stop signs to make AI algorithms miscategorize them without ever messing with how it was trained, called “adversarial examples.” While neither Trojan attacks nor the adversarial examples are known to have been used by malicious parties in the real world, researchers have said they're increasingly possible. IARPA is looking at a short timeline as well, expecting the program to conclude after a maximum of two years. https://www.defenseone.com/technology/2018/12/us-spies-want-know-how-spot-compromised-ai/153826