Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain
Authors: Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya | Published: 2019-05-06
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
Authors: Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal | Published: 2019-05-05
CharBot: A Simple and Effective Method for Evading DGA Classifiers
Authors: Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento, Martine De Cock | Published: 2019-05-03 | Updated: 2019-05-30
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