Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent

18 February 2020

Papers citing "Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent"

9 / 9 papers shown

Title
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 28 0 0 30 Mar 2024
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 18 0 0 12 Dec 2023
Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub 26 9 0 04 Jul 2022
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 24 56 0 13 Dec 2021
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System Logan Brown Reid Pezewski Jeremy Straub AILaw 23 2 0 05 Aug 2021
Fake News and Phishing Detection Using a Machine Learning Trained Expert System Benjamin Fitzpatrick X. Liang Jeremy Straub 32 6 0 04 Aug 2021
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization Jiaqi Gu Chenghao Feng Zheng Zhao Zhoufeng Ying Ray T. Chen David Z. Pan 11 28 0 21 Dec 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition Xinghao Yang Weifeng Liu Shengli Zhang Wei Liu Dacheng Tao AAML 24 28 0 09 Oct 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 19 224 0 11 Jun 2020