Defending Neural Backdoors via Generative Distribution Modeling
Authors: Ximing Qiao, Yukun Yang, Hai Li | Published: 2019-10-10 | Updated: 2019-11-06
攻撃の評価
Membership Model Inversion Attacks for Deep Networks
Authors: Samyadeep Basu, Rauf Izmailov, Chris Mesterharm | Published: 2019-10-09
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Authors: Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-10-08
Detecting AI Trojans Using Meta Neural Analysis
Authors: Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li | Published: 2019-10-08 | Updated: 2020-10-01
A Case Study on Using Deep Learning for Network Intrusion Detection
Authors: Gabriel C. Fernandez, Shouhuai Xu | Published: 2019-10-05
Adversarial Examples for Cost-Sensitive Classifiers
Authors: Gavin S. Hartnett, Andrew J. Lohn, Alexander P. Sedlack | Published: 2019-10-04
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Authors: Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque | Published: 2019-10-03 | Updated: 2019-12-13
BUZz: BUffer Zones for defending adversarial examples in image classification
Authors: Kaleel Mahmood, Phuong Ha Nguyen, Lam M. Nguyen, Thanh Nguyen, Marten van Dijk | Published: 2019-10-03 | Updated: 2020-06-16
A Data Science Approach for Honeypot Detection in Ethereum
Authors: Ramiro Camino, Christof Ferreira Torres, Mathis Baden, Radu State | Published: 2019-10-03 | Updated: 2019-12-19
Piracy Resistant Watermarks for Deep Neural Networks
Authors: Huiying Li, Emily Wenger, Shawn Shan, Ben Y. Zhao, Haitao Zheng | Published: 2019-10-02 | Updated: 2020-12-02