Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review
Authors: Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta | Published: 2021-04-11
最適化問題
Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model
Authors: Payam Delgosha, Hamed Hassani, Ramtin Pedarsani | Published: 2021-04-05
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Authors: Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian | Published: 2021-03-19 | Updated: 2021-03-22
Higher-Order Certification for Randomized Smoothing
Authors: Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel | Published: 2020-10-13
Toward Few-step Adversarial Training from a Frequency Perspective
Authors: Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin | Published: 2020-10-13
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
Authors: Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding | Published: 2020-09-22
DeepDyve: Dynamic Verification for Deep Neural Networks
Authors: Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu | Published: 2020-09-21 | Updated: 2020-10-16
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
Authors: Alex Serban, Erik Poll, Joost Visser | Published: 2020-08-12
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Authors: Jiaxi Tang, Hongyi Wen, Ke Wang | Published: 2020-08-11 | Updated: 2020-08-28
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Authors: Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan | Published: 2020-08-11