Feedback Learning for Improving the Robustness of Neural Networks
Authors: Chang Song, Zuoguan Wang, Hai Li | Published: 2019-09-12
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences
Authors: Yuqi Chen, Christopher M. Poskitt, Jun Sun, Sridhar Adepu, Fan Zhang | Published: 2019-09-12
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
Authors: Luis Muñoz-González, Kenneth T. Co, Emil C. Lupu | Published: 2019-09-11
Structural Robustness for Deep Learning Architectures
Authors: Carlos Lassance, Vincent Gripon, Jian Tang, Antonio Ortega | Published: 2019-09-11
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