Adversarial Attack Generation Empowered by Min-Max Optimization
Authors: Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li | Published: 2019-06-09 | Updated: 2021-11-01
敵対的学習
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Authors: Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri | Published: 2019-06-07 | Updated: 2020-02-24
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
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