26 citations
- Carnegie Mellon UniversityUS3 papers
- IEEE Computer SocietyUS3 papers
- Indian Institute of Chemical TechnologyIN3 papers
- Indian Institute of Technology JammuIN3 papers
- Indian Institute of Technology KharagpurIN3 papers
- Physical Research LaboratoryIN2 papers
- University of New MexicoUS2 papers
- Association for Computing MachineryUS1 paper
- Birla Institute of Technology and Science, PilaniIN1 paper
- Concordia UniversityCA1 paper
- CR Rao Advanced Institute of Mathematics, Statistics and Computer ScienceIN1 paper
- Czech Technical University in PragueCZ1 paper
9 papers · 1 filter
Measuring structural parameters of crosslinked and entangled semiflexible polymer networks with single-filament tracing
Tina Händler, Cary Tutmarc, Martin Glaser +3
Single-filament tracing has been a valuable tool to directly determine geometrical and mechanical properties of entangled polymer networks. However, systematically verifying how th…
Surface tension and instability in the hydrodynamic white hole of a circular hydraulic jump
Jayanta K. Bhattacharjee, Arnab K. Ray
We impose a linearized Eulerian perturbation on a steady, shallow, radial outflow of a liquid (water), whose local pressure function includes both the hydrostatic and the Laplace p…
Extracting Electron Scattering Cross Sections from Swarm Data using Deep Neural Networks
Vishrut Jetly, Bhaskar Chaudhury
Electron-neutral scattering cross sections are fundamental quantities in simulations of low temperature plasmas used for many technological applications today. From these microscop…
Web Application Attack Detection using Deep Learning
Tikam Alma, Manik Lal Das
Modern web applications are dominated by HTTP/HTTPS messages that consist of one or more headers, where most of the exploits and payloads can be injected by attackers. According to…
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
Mihir Prabhudesai, Shamit Lal, Darshan Patil +3
We present neural architectures that disentangle RGB-D images into objects' shapes and styles and a map of the background scene, and explore their applications for few-shot 3D obje…
Poisoned classifiers are not only backdoored, they are fundamentally broken
Mingjie Sun, Siddhant Agarwal, J. Zico Kolter
Under a commonly-studied backdoor poisoning attack against classification models, an attacker adds a small trigger to a subset of the training data, such that the presence of this…