Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28
文献データベース
AutoGAN-based Dimension Reduction for Privacy Preservation
Authors: Hung Nguyen, Di Zhuang, Pei-Yuan Wu, Morris Chang | Published: 2019-02-27 | Updated: 2021-07-27
Tensor Dropout for Robust Learning
Authors: Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Anima Anandkumar, Ioanna Tzoulaki, Paul Matthews | Published: 2019-02-27 | Updated: 2020-12-11
Adversarial Attacks on Time Series
Authors: Fazle Karim, Somshubra Majumdar, Houshang Darabi | Published: 2019-02-27 | Updated: 2019-03-01
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection
Authors: Muhammad Zaid Hameed, Andras Gyorgy, Deniz Gunduz | Published: 2019-02-27 | Updated: 2020-04-07
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data
Authors: Richeng Jin, Xiaofan He, Huaiyu Dai | Published: 2019-02-27 | Updated: 2019-03-06
Disentangled Deep Autoencoding Regularization for Robust Image Classification
Authors: Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni | Published: 2019-02-27
Design of intentional backdoors in sequential models
Authors: Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani | Published: 2019-02-26
Function Space Particle Optimization for Bayesian Neural Networks
Authors: Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang | Published: 2019-02-26 | Updated: 2019-05-08
Adversarial attacks hidden in plain sight
Authors: Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer | Published: 2019-02-25 | Updated: 2020-04-26