A Study of EV BMS Cyber Security Based on Neural Network SOC Prediction
Authors: Syed Rahman, Haneen Aburub, Yemeserach Mekonnen, Arif I. Sarwat | Published: 2018-06-07
透かし評価
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model
Authors: Cheol Young Park, Kathryn Blackmond Laskey | Published: 2018-06-06 | Updated: 2018-06-08
Killing four birds with one Gaussian process: the relation between different test-time attacks
Authors: Kathrin Grosse, Michael T. Smith, Michael Backes | Published: 2018-06-06 | Updated: 2020-11-29
Set-based Obfuscation for Strong PUFs against Machine Learning Attacks
Authors: Jiliang Zhang, Chaoqun Shen | Published: 2018-06-06 | Updated: 2019-11-13
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks
Authors: Chirag Agarwal, Bo Dong, Dan Schonfeld, Anthony Hoogs | Published: 2018-06-05 | Updated: 2018-06-06
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Authors: Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes | Published: 2018-06-04 | Updated: 2018-12-14
Detecting Adversarial Examples via Key-based Network
Authors: Pinlong Zhao, Zhouyu Fu, Ou wu, Qinghua Hu, Jun Wang | Published: 2018-06-02
Tokenized Data Markets
Authors: Bharath Ramsundar, Roger Chen, Alok Vasudev, Rob Robbins, Artur Gorokh | Published: 2018-05-31
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations
Authors: Taesung Lee, Benjamin Edwards, Ian Molloy, Dong Su | Published: 2018-05-31 | Updated: 2018-12-13
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Authors: Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan | Published: 2018-05-31