Defensive Quantization: When Efficiency Meets Robustness
Authors: Ji Lin, Chuang Gan, Song Han | Published: 2019-04-17
敵対的攻撃検出
Adversarial Defense Through Network Profiling Based Path Extraction
Authors: Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu | Published: 2019-04-17 | Updated: 2019-05-09
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
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
Authors: David J. Miller, Zhen Xiang, George Kesidis | Published: 2019-04-12 | Updated: 2019-12-02
Malware Evasion Attack and Defense
Authors: Yonghong Huang, Utkarsh Verma, Celeste Fralick, Gabriel Infante-Lopez, Brajesh Kumarz, Carl Woodward | Published: 2019-04-07 | Updated: 2019-04-16
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
Authors: Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang | Published: 2019-04-01 | Updated: 2019-11-30
Defending against adversarial attacks by randomized diversification
Authors: Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy | Published: 2019-04-01
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