Locally Differentially Private Naive Bayes Classification
Authors: Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang | Published: 2019-05-03
Transfer of Adversarial Robustness Between Perturbation Types
Authors: Daniel Kang, Yi Sun, Tom Brown, Dan Hendrycks, Jacob Steinhardt | Published: 2019-05-03
Generative Adversarial Network for Wireless Signal Spoofing
Authors: Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu | Published: 2019-05-03 | Updated: 2019-05-07
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
Authors: Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud | Published: 2019-05-02 | Updated: 2020-02-18
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Authors: Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong | Published: 2019-05-02 | Updated: 2019-11-01
Weight Map Layer for Noise and Adversarial Attack Robustness
Authors: Mohammed Amer, Tomás Maul | Published: 2019-05-02 | Updated: 2020-12-02
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
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