Edge Dithering for Robust Adaptive Graph Convolutional Networks
Authors: Vassilis N. Ioannidis, Georgios B. Giannakis | Published: 2019-10-21
ポイズニング
Recovering Localized Adversarial Attacks
Authors: Jan Philip Göpfert, Heiko Wersing, Barbara Hammer | Published: 2019-10-21
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation
Authors: Anindya Sarkar, Nikhil Kumar Gupta, Raghu Iyengar | Published: 2019-10-17 | Updated: 2019-10-21
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
Authors: David Stutz, Matthias Hein, Bernt Schiele | Published: 2019-10-14 | Updated: 2020-06-30
Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Authors: Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu | Published: 2019-10-14 | Updated: 2019-10-27
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
Adversarial Examples for Cost-Sensitive Classifiers
Authors: Gavin S. Hartnett, Andrew J. Lohn, Alexander P. Sedlack | Published: 2019-10-04
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
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2019-10-01
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML
Authors: Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May O'Reilly | Published: 2019-09-30 | Updated: 2020-06-17