Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
Authors: Jacopo Talpini, Fabio Sartori, Marco Savi | Published: 2023-09-05 | Updated: 2024-04-09
Out-of-Distribution検出
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
Authors: Andrea Corsini, Shanchieh Jay Yang | Published: 2023-08-28
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
Authors: Rongqing Li, Jiaqi Yu, Changsheng Li, Wenhan Luo, Ye Yuan, Guoren Wang | Published: 2023-07-20
$p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations
Authors: Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot | Published: 2022-07-25
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Authors: Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha | Published: 2020-06-26 | Updated: 2021-06-30
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Authors: Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan | Published: 2019-10-11 | Updated: 2020-05-27
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection
Authors: Nilesh A. Ahuja, Ibrahima Ndiour, Trushant Kalyanpur, Omesh Tickoo | Published: 2019-09-25
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
Authors: Koby Bibas, Yaniv Fogel, Meir Feder | Published: 2019-04-28 | Updated: 2020-01-08
Adversarial Out-domain Examples for Generative Models
Authors: Dario Pasquini, Marco Mingione, Massimo Bernaschi | Published: 2019-03-07 | Updated: 2019-05-13