NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Authors: Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong | Published: 2019-05-01 | Updated: 2019-12-09
文献データベース
To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
Authors: Li Chen, Carter Yagemann, Evan Downing | Published: 2019-04-30
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
Authors: Francesco Crecchi, Davide Bacciu, Battista Biggio | Published: 2019-04-30 | Updated: 2019-05-01
Adversarial Training and Robustness for Multiple Perturbations
Authors: Florian Tramèr, Dan Boneh | Published: 2019-04-30 | Updated: 2019-10-18
Adversarial Training for Free!
Authors: Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein | Published: 2019-04-29 | Updated: 2019-11-20
SEALion: a Framework for Neural Network Inference on Encrypted Data
Authors: Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law | Published: 2019-04-29
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
Authors: Koby Bibas, Yaniv Fogel, Meir Feder | Published: 2019-04-28 | Updated: 2020-01-08
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks
Authors: Bahram Mohammadi, Mohammad Sabokrou | Published: 2019-04-25
A Robust Approach for Securing Audio Classification Against Adversarial Attacks
Authors: Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Published: 2019-04-24 | Updated: 2019-11-25
A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists
Authors: Benjamin Zi Hao Zhao, Muhammad Ikram, Hassan Jameel Asghar, Mohamed Ali Kaafar, Abdelberi Chaabane, Kanchana Thilakarathna | Published: 2019-04-24