Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics
Authors: Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder | Published: 2019-05-28 | Updated: 2019-11-27
敵対的学習
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Authors: Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang | Published: 2019-05-28
Adversarially Robust Learning Could Leverage Computational Hardness
Authors: Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody | Published: 2019-05-28 | Updated: 2019-12-19
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2019-04-17
Defensive Quantization: When Efficiency Meets Robustness
Authors: Ji Lin, Chuang Gan, Song Han | Published: 2019-04-17
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
Authors: Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru, BaekGyu Kim | Published: 2019-04-15
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Authors: Xiao Zhang, Dongrui Wu | Published: 2019-03-31
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Authors: Dan Hendrycks, Thomas Dietterich | Published: 2019-03-28
Rallying Adversarial Techniques against Deep Learning for Network Security
Authors: Joseph Clements, Yuzhe Yang, Ankur Sharma, Hongxin Hu, Yingjie Lao | Published: 2019-03-27 | Updated: 2021-10-25
Bridging Adversarial Robustness and Gradient Interpretability
Authors: Beomsu Kim, Junghoon Seo, Taegyun Jeon | Published: 2019-03-27 | Updated: 2019-04-19