Award Data

Program protection and security personnel in the DoD are faced with the complex task of identifying and protecting sensitive information about systems, including the nature of mission-critical functions and components, and Critical Program Information (CPI). Successful and efficient identification and protection of CPI is essential to maintaining US Warfighters’ technological advantage. Cur ...

Active electronically scanned antennas (AESA) for radar have the potential to be low-cost provided the array architecture is designed for production using commercially available manufacturing processes. Most modern radar antennas employ some form of nulling to reduce sidelobes in key steering directions. For a transmit AESA the most cost effective implementation is to use phase only to steer the m ...

The Strategic Capabilities Office (SCO) of OSD is leading a program to demonstrate a Hyper Velocity Projectile (HVP) Gun Weapon System (HGWS) within the DoD. Emerging missile threats are highly agile, exhibit unpredictable behavior and are often protected by sophisticated counter-measures. To support the deployment of HVP weapon systems for defense against these threats, a comprehensive multi-targ ...

Recent advances in aeronautical design and development has contributed to a significant increase in the vulnerability of the warfighter’s land and sea-based assets from threat-targets exhibiting unpredictable, high-dynamic motion, evasive control, and countermeasure usage. The primary defensive strategy against these targets is a fire control radar system. These systems typically use a sing ...

Machine learning models are susceptible to adversarial attacks that make modifications to the input data in order to cause misclassifications. The root cause is the linearity of the decision boundaries of machine learning models in relation to their inputs. One promising direction is to represent the input data as a distribution. Quantum information science entails techniques for working with wave ...

We propose a quantum adversarial machine learning (QAML) approach that combines ideas from different classical AML techniques such as Defense-GAN and thermometer-encoding of inputs. We propose an implementation of Defense-GAN on the D-Wave Leap quantum computing environment. We also propose to leverage ideas from quantum information science such as noisy inputs/outputs/parameters to improve the ro ...

Despite deep neural networks have demonstrated tremendous success in various commercial and DoD applications, they are susceptible to adversarial attacks with detrimental outcomes to the underlying applications. The generative adversarial network (GAN) provides a good way of defending against adversarial learning attacks, but it is faced with a practical challenge, as classical computers are not a ...

Black River Systems is developing real-time fire control tracking and threat prediction capabilities for land and sea - based missile defense. Our nation faces a rapidly evolving set of missile threats that exhibit extreme velocities, high dynamic motion and difficult to predict maneuverability. There are many different trajectories and many types of threats: subsonic, supersonic; sea-skimming, la ...

Protecting the effectiveness of US advanced weapon systems and the technology they rely on is a national priority. Unfortunately, individuals tasked with this mission are met with disjointed guidance, no training, and competing processes to consider. It is no wonder adversaries continue to exploit these weaknesses in the Department of Defense (DOD); stealing our Critical Program Information (CPI) ...

TSA will assess the feasibility of developing or modifying an existing application-based process for creating: a) A functional architecture of a system to identify system missions, mission threads, and Critical Functions (mission model), and b) A physical architecture of a system (system model) in a manner consistent with both TSN Criticality Analysis and the Cybersecurity Risk Assessment Implemen ...