On Adversarial Robustness: A Neural Architecture Search perspective
Authors: Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N Balasubramanian | Published: 2020-07-16 | Updated: 2021-08-26
Performance Evaluation
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-15 | Updated: 2020-10-23
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
Authors: Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar | Published: 2020-07-14
Generating Adversarial Inputs Using A Black-box Differential Technique
Authors: João Batista Pereira Matos Juúnior, Lucas Carvalho Cordeiro, Marcelo d'Amorim, Xiaowei Huang | Published: 2020-07-10
Improving Adversarial Robustness by Enforcing Local and Global Compactness
Authors: Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung | Published: 2020-07-10
A general framework for defining and optimizing robustness
Authors: Alessandro Tibo, Manfred Jaeger, Kim G. Larsen | Published: 2020-06-19 | Updated: 2021-05-29
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Authors: Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis | Published: 2020-06-18
AdvMind: Inferring Adversary Intent of Black-Box Attacks
Authors: Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2020-06-16
On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron
Authors: Sergey Bochkanov | Published: 2020-06-16
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Authors: Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi | Published: 2020-06-16