Neural Networks with Structural Resistance to Adversarial Attacks
Authors: Luca de Alfaro | Published: 2018-09-25
Fast Geometrically-Perturbed Adversarial Faces
Authors: Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2018-09-24 | Updated: 2018-09-28
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
Authors: Bao Wang, Alex T. Lin, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher | Published: 2018-09-23 | Updated: 2020-04-29
Unrestricted Adversarial Examples
Authors: Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul Christiano, Ian Goodfellow | Published: 2018-09-22
Adversarial Recommendation: Attack of the Learned Fake Users
Authors: Konstantina Christakopoulou, Arindam Banerjee | Published: 2018-09-21
Adversarial Binaries for Authorship Identification
Authors: Xiaozhu Meng, Barton P. Miller, Somesh Jha | Published: 2018-09-21 | Updated: 2018-11-07
Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT
Authors: Meng Shen, Baoli Ma, Liehuang Zhu, Xiaojiang Du, Ke Xu | Published: 2018-09-21
Playing the Game of Universal Adversarial Perturbations
Authors: Julien Perolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin | Published: 2018-09-20 | Updated: 2018-09-25
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
Authors: Simon Duque Anton, Lia Ahrens, Daniel Fraunholz, Hans Dieter Schotten | Published: 2018-09-20
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples
Authors: Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu | Published: 2018-09-18