Improving the affordability of robustness training for DNNs
Authors: Sidharth Gupta, Parijat Dube, Ashish Verma | Published: 2020-02-11 | Updated: 2020-04-30
堅牢性向上手法
Fine-grained Uncertainty Modeling in Neural Networks
Authors: Rahul Soni, Naresh Shah, Jimmy D. Moore | Published: 2020-02-11
Testing Robustness Against Unforeseen Adversaries
Authors: Max Kaufmann, Daniel Kang, Yi Sun, Steven Basart, Xuwang Yin, Mantas Mazeika, Akul Arora, Adam Dziedzic, Franziska Boenisch, Tom Brown, Jacob Steinhardt, Dan Hendrycks | Published: 2019-08-21 | Updated: 2023-10-30
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
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Authors: Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang | Published: 2019-08-20 | Updated: 2020-02-26
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Authors: Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin | Published: 2019-08-20
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
Authors: Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel | Published: 2019-08-18
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Authors: Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft | Published: 2019-08-17 | Updated: 2020-02-03
Adversarial shape perturbations on 3D point clouds
Authors: Daniel Liu, Ronald Yu, Hao Su | Published: 2019-08-16 | Updated: 2020-10-23
On the Adversarial Robustness of Neural Networks without Weight Transport
Authors: Mohamed Akrout | Published: 2019-08-09 | Updated: 2019-10-03