Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
Authors: Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed | Published: 2021-07-12
モデルの設計や精度
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
Authors: Luong-Ha Nguyen, James-A. Goulet | Published: 2021-07-08
Residual Error: a New Performance Measure for Adversarial Robustness
Authors: Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong | Published: 2021-06-18
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
Authors: Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra | Published: 2021-06-14 | Updated: 2022-07-23
Verifying Quantized Neural Networks using SMT-Based Model Checking
Authors: Luiz Sena, Xidan Song, Erickson Alves, Iury Bessa, Edoardo Manino, Lucas Cordeiro, Eddie de Lima Filho | Published: 2021-06-10 | Updated: 2021-09-16
On Robustness of Neural Ordinary Differential Equations
Authors: Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng | Published: 2019-10-12 | Updated: 2022-03-03
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
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications
Authors: Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari | Published: 2019-10-08
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network
Authors: Shisrut Rawat, Aishwarya Srinivasan, Vinayakumar R | Published: 2019-10-01
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack
Authors: Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian | Published: 2019-10-01