998 citations
- DEVCOM Army Research LaboratoryUS45 papers
- U.S. Army Engineer Research and Development CenterUS21 papers
- United States Army Combat Capabilities Development CommandUS20 papers
- United States Department of the ArmyUS18 papers
- United States Army Research OfficeUS17 papers
- U.S. Army Combat Capabilities Development Command Aviation & Missile Center15 papers
- Duke UniversityUS14 papers
- U.S. Army Aviation and Missile CommandUS11 papers
- Pennsylvania State UniversityUS9 papers
- Massachusetts Institute of TechnologyUS8 papers
- Oakland UniversityUS7 papers
- University of North TexasUS7 papers
9 papers · 1 filter
Security Metrics in Industrial Control Systems
Zachary A. Collier, Mahesh Panwar, Alexander A. Ganin +2
Risk is the best known and perhaps the best studied example within a much broader class of cyber security metrics. However, risk is not the only possible cyber security metric. Oth…
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha +3
Deep learning takes advantage of large datasets and computationally efficient training algorithms to outperform other approaches at various machine learning tasks. However, imperfe…
Kinetic and Cyber
Alexander Kott, Norbou Buchler, Kristin E. Schaefer
We compare and contrast situation awareness in cyber warfare and in conventional, kinetic warfare. Situation awareness (SA) has a far longer history of study and applications in su…
Non-Ergodic Complexity Management
Nicola Piccinini, David Lambert, Bruce West +2
Linear response theory, the backbone of non-equilibrium statistical physics, has recently been extended to explain how and why non-ergodic renewal processes are insensitive to simp…
Continuum electrodynamics and the Abraham--Minkowski momentum controversy
Michael E. Crenshaw
Continuum electrodynamics is an axiomatic formal theory based on the macroscopic Maxwell equations and the constitutive relations. We apply the formal theory to a thermodynamically…
Modulation Classification for MIMO-OFDM Signals via Approximate Bayesian Inference
Yu Liu, Osvaldo Simeone, Alexander M. Haimovich +1
The problem of modulation classification for a multiple-antenna (MIMO) system employing orthogonal frequency division multiplexing (OFDM) is investigated under the assumption of un…