364 citations · 721 across the 7 of their papers we have counts for
7 papers
Finding Universal Relations using Statistical Data Analysis
Praveen Manoharan, Kostas D. Kokkotas
We present applications of statistical data analysis methods from both bi- and multivariate statistics to find suitable sets of neutron star features that can be leveraged for accu…
Fast Rotating Neutron Stars: Oscillations and Instabilities
Christian J. Krüger, Kostas D. Kokkotas, Praveen Manoharan +1
In this review article, we present the main results from our most recent research concerning the oscillations of fast rotating neutron stars. We derive a set of time evolution equa…
Universal Relations for Binary Neutron Star Mergers with Long-lived Remnants
Praveen Manoharan, Christian J. Krüger, Kostas D. Kokkotas
We present a novel universal relation for binary neutron star mergers with long-lived neutron star remnants: inspired by recent work based on numerical relativity simulations, we p…
Towards Plausible Graph Anonymization
Yang Zhang, Mathias Humbert, Bartlomiej Surma +3
Social graphs derived from online social interactions contain a wealth of information that is nowadays extensively used by both industry and academia. However, as social graphs con…
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
Machine Learning (ML) models are applied in a variety of tasks such as network intrusion detection or Malware classification. Yet, these models are vulnerable to a class of malicio…
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan +2
Deep neural networks, like many other machine learning models, have recently been shown to lack robustness against adversarially crafted inputs. These inputs are derived from regul…
From Closed-world Enforcement to Open-world Assessment of Privacy
Michael Backes, Pascal Berrang, Praveen Manoharan
In this paper, we develop a user-centric privacy framework for quantitatively assessing the exposure of personal information in open settings. Our formalization addresses key-chall…