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2002.07891
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Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
AAAI Conference on Artificial Intelligence (AAAI), 2020
18 February 2020
Pu Zhao
Pin-Yu Chen
Siyue Wang
Xinyu Lin
AAML
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Papers citing
"Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent"
24 / 24 papers shown
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
Shaocong Ma
Heng Huang
188
3
0
22 Oct 2025
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen
Pin-Yu Chen
I-Hsin Chung
Che-Rung Lee
345
4
0
28 Jun 2024
Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System
Jordan Milbrath
Jonathan Rivard
Jeremy Straub
148
1
0
17 Apr 2024
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
298
4
0
30 Mar 2024
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
International Conference on Learning Representations (ICLR), 2024
Muhammad A. Shah
David Solans Noguero
Mikko A. Heikkilä
Nicolas Kourtellis
326
19
0
08 Mar 2024
DTA: Distribution Transform-based Attack for Query-Limited Scenario
Renyang Liu
Wei Zhou
Xin Jin
Song Gao
Yuanyu Wang
Ruxin Wang
327
1
0
12 Dec 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
434
8
0
26 Oct 2023
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Renyang Liu
Wei Zhou
Tianwei Zhang
Kangjie Chen
Jun Zhao
Kwok-Yan Lam
331
23
0
11 Oct 2023
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
Nastaran Darabi
Sina Tayebati
S. Sureshkumar
Sathya Ravi
Theja Tulabandhula
A. R. Trivedi
437
9
0
20 Sep 2023
Automating the Design and Development of Gradient Descent Trained Expert System Networks
Knowledge-Based Systems (KBS), 2022
Jeremy Straub
180
10
0
04 Jul 2022
Holistic Adversarial Robustness of Deep Learning Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Pin-Yu Chen
Sijia Liu
AAML
438
24
0
15 Feb 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
354
83
0
13 Dec 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Kaleel Mahmood
Rigel Mahmood
Ethan Rathbun
Marten van Dijk
AAML
215
31
0
29 Sep 2021
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System
Logan Brown
Reid Pezewski
Jeremy Straub
AILaw
248
3
0
05 Aug 2021
Fake News and Phishing Detection Using a Machine Learning Trained Expert System
Benjamin Fitzpatrick
X. Liang
Jeremy Straub
188
8
0
04 Aug 2021
Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique
Knowledge-Based Systems (KBS), 2021
Jeremy Straub
178
30
0
07 Mar 2021
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jiaqi Gu
Chenghao Feng
Zheng Zhao
Zhoufeng Ying
Ray T. Chen
David Z. Pan
373
41
0
21 Dec 2020
SurFree: a fast surrogate-free black-box attack
Computer Vision and Pattern Recognition (CVPR), 2020
Thibault Maho
Teddy Furon
Erwan Le Merrer
AAML
339
118
0
25 Nov 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition
IEEE Internet of Things Journal (IEEE IoT J.), 2020
Xinghao Yang
Weifeng Liu
Shengli Zhang
Wei Liu
Dacheng Tao
AAML
287
39
0
09 Oct 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Sijia Liu
Pin-Yu Chen
B. Kailkhura
Gaoyuan Zhang
A. Hero III
P. Varshney
374
314
0
11 Jun 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
International Conference on Learning Representations (ICLR), 2020
Pu Zhao
Pin-Yu Chen
Payel Das
Karthikeyan N. Ramamurthy
Xue Lin
AAML
577
211
0
30 Apr 2020
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
Design Automation Conference (DAC), 2019
Pu Zhao
Siyue Wang
Cheng Gongye
Yanzhi Wang
Yunsi Fei
Xinyu Lin
AAML
295
80
0
28 May 2019
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Haishan Ye
Zhichao Huang
Cong Fang
C. J. Li
Tong Zhang
AAML
244
35
0
29 Dec 2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
684
171
0
04 Jun 2018
1
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