Sparse and Imperceivable Adversarial Attacks
Authors: Francesco Croce, Matthias Hein | Published: 2019-09-11
PDA: Progressive Data Augmentation for General Robustness of Deep Neural Networks
Authors: Hang Yu, Aishan Liu, Xianglong Liu, Gengchao Li, Ping Luo, Ran Cheng, Jichen Yang, Chongzhi Zhang | Published: 2019-09-11 | Updated: 2020-02-24
Identifying and Resisting Adversarial Videos Using Temporal Consistency
Authors: Xiaojun Jia, Xingxing Wei, Xiaochun Cao | Published: 2019-09-11
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification
Authors: Eitan Rothberg, Tingting Chen, Luo Jie, Hao Ji | Published: 2019-09-10
Effectiveness of Adversarial Examples and Defenses for Malware Classification
Authors: Robert Podschwadt, Hassan Takabi | Published: 2019-09-10
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach
Authors: Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu | Published: 2019-09-10
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Authors: Byunggill Joe, Sung Ju Hwang, Insik Shin | Published: 2019-09-10
BOSH: An Efficient Meta Algorithm for Decision-based Attacks
Authors: Zhenxin Xiao, Puyudi Yang, Yuchen Jiang, Kai-Wei Chang, Cho-Jui Hsieh | Published: 2019-09-10 | Updated: 2019-10-14
Adversarial Robustness Against the Union of Multiple Perturbation Models
Authors: Pratyush Maini, Eric Wong, J. Zico Kolter | Published: 2019-09-09 | Updated: 2020-07-28
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models
Authors: Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz | Published: 2019-09-09 | Updated: 2020-11-23