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Perturbing Across the Feature Hierarchy to Improve Standard and Strict
  Blackbox Attack Transferability

Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability

29 April 2020
Nathan Inkawhich
Kevin J. Liang
Binghui Wang
Matthew J. Inkawhich
Lawrence Carin
Yiran Chen
    AAML
ArXiv (abs)PDFHTML

Papers citing "Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability"

5 / 55 papers shown
Title
On Generating Transferable Targeted Perturbations
On Generating Transferable Targeted Perturbations
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
105
75
0
26 Mar 2021
Can Targeted Adversarial Examples Transfer When the Source and Target
  Models Have No Label Space Overlap?
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
Nathan Inkawhich
Kevin J. Liang
Jingyang Zhang
Huanrui Yang
H. Li
Yiran Chen
AAML
42
5
0
17 Mar 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Lianli Gao
Qilong Zhang
Jingkuan Song
Heng Tao Shen
AAML
111
19
0
31 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
164
126
0
21 Dec 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based
  Black-Box Attacks
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks
Huiying Li
Shawn Shan
Emily Wenger
Jiayun Zhang
Haitao Zheng
Ben Y. Zhao
AAML
73
45
0
24 Jun 2020
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