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
Performance Evaluation
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
Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment
Authors: Zahra Noury, Mahdi Rezaei | Published: 2020-06-15 | Updated: 2020-06-24
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Authors: Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz | Published: 2020-06-15 | Updated: 2021-03-15
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Authors: Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Chuning He, Yuan Jin | Published: 2020-06-15 | Updated: 2020-12-15