Stability and Generalization of Differentially Private Minimax Problems
Authors: Yilin Kang, Yong Liu, Jian Li, Weiping Wang | Published: 2022-04-11 | Updated: 2022-04-22
Generalization Performance
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Authors: Giovanni Apruzzese, Luca Pajola, Mauro Conti | Published: 2022-03-09
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Authors: Vasisht Duddu, Sebastian Szyller, N. Asokan | Published: 2021-12-04 | Updated: 2022-09-05
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration
Authors: Roberto Magán-Carrión, Daniel Urda, Ignacio Díaz-Cano, Bernabé Dorronsoro | Published: 2021-12-02
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
Authors: Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris | Published: 2021-11-30 | Updated: 2022-02-02
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Authors: Lijia Yu, Xiao-Shan Gao | Published: 2021-11-08 | Updated: 2022-02-14
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Authors: Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang | Published: 2021-11-08
The mathematics of adversarial attacks in AI — Why deep learning is unstable despite the existence of stable neural networks
Authors: Alexander Bastounis, Anders C Hansen, Verner Vlačić | Published: 2021-09-13 | Updated: 2025-03-26
Towards Resistant Audio Adversarial Examples
Authors: Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger | Published: 2020-10-14
Toward Few-step Adversarial Training from a Frequency Perspective
Authors: Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin | Published: 2020-10-13