Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
Authors: Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2019-08-29
敵対的サンプル
Adversarial Edit Attacks for Tree Data
Authors: Benjamin Paaßen | Published: 2019-08-25 | Updated: 2019-08-27
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Authors: Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu | Published: 2019-08-21 | Updated: 2019-10-26
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
Authors: Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel | Published: 2019-08-18
On the Adversarial Robustness of Neural Networks without Weight Transport
Authors: Mohamed Akrout | Published: 2019-08-09 | Updated: 2019-10-03
Defending Against Adversarial Iris Examples Using Wavelet Decomposition
Authors: Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-08-08
Universal Adversarial Audio Perturbations
Authors: Sajjad Abdoli, Luiz G. Hafemann, Jerome Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich | Published: 2019-08-08 | Updated: 2020-11-17
Investigating Decision Boundaries of Trained Neural Networks
Authors: Roozbeh Yousefzadeh, Dianne P O'Leary | Published: 2019-08-07
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30