On Configurable Defense against Adversarial Example Attacks
Authors: Bo Luo, Min Li, Yu Li, Qiang Xu | Published: 2018-12-06
防御手法
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Authors: Huangyi Ge, Sze Yiu Chau, Bruno Ribeiro, Ninghui Li | Published: 2018-12-05 | Updated: 2020-01-20
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Authors: Siddique Latif, Rajib Rana, Junaid Qadir | Published: 2018-11-28 | Updated: 2018-12-30
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Authors: Jenn-Bing Ong, Wee-Keong Ng, C. -C. Jay Kuo | Published: 2018-11-20 | Updated: 2018-12-11
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples
Authors: Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki | Published: 2018-11-20
The Taboo Trap: Behavioural Detection of Adversarial Samples
Authors: Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson | Published: 2018-11-18 | Updated: 2019-11-21
Robust Website Fingerprinting Through the Cache Occupancy Channel
Authors: Anatoly Shusterman, Lachlan Kang, Yarden Haskal, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom | Published: 2018-11-17 | Updated: 2019-02-21
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Authors: Faiq Khalid, Muhammmad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique | Published: 2018-11-04
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks
Authors: Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-04 | Updated: 2020-05-14
Adversarial Examples: Opportunities and Challenges
Authors: Jiliang Zhang, Chen Li | Published: 2018-09-13 | Updated: 2019-09-23