Universal Lipschitz Approximation in Bounded Depth Neural Networks
Authors: Jeremy E. J. Cohen, Todd Huster, Ra Cohen | Published: 2019-04-09
Private Hierarchical Clustering and Efficient Approximation
Authors: Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos | Published: 2019-04-09 | Updated: 2021-10-01
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning
Authors: Shahbaz Rezaei, Xin Liu | Published: 2019-04-08 | Updated: 2020-01-29
Malware Evasion Attack and Defense
Authors: Yonghong Huang, Utkarsh Verma, Celeste Fralick, Gabriel Infante-Lopez, Brajesh Kumarz, Carl Woodward | Published: 2019-04-07 | Updated: 2019-04-16
Reframing Threat Detection: Inside esINSIDER
Authors: M. Arthur Munson, Jason Kichen, Dustin Hillard, Ashley Fidler, Peiter Zatko | Published: 2019-04-07
A Compendium on Network and Host based Intrusion Detection Systems
Authors: Rahul-Vigneswaran K, Prabaharan Poornachandran, Soman KP | Published: 2019-04-06
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment
Authors: Iain Barclay, Alun Preece, Ian Taylor, Dinesh Verma | Published: 2019-04-05
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Authors: Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis | Published: 2019-04-05 | Updated: 2020-10-15
Malware Detection using Machine Learning and Deep Learning
Authors: Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak | Published: 2019-04-04
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Authors: Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant | Published: 2019-04-04