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Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
v1v2 (latest)

Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data

11 May 2020
Lu Wang
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Yuan Jiang
    AAML
ArXiv (abs)PDFHTMLGithub (6★)

Papers citing "Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data"

7 / 7 papers shown
Sparse and Transferable Universal Singular Vectors Attack
Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova
Olga Tsymboi
Ivan Oseledets
AAML
294
0
0
25 Jan 2024
SoK: Pitfalls in Evaluating Black-Box Attacks
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
423
8
0
26 Oct 2023
Evaluating robustness of support vector machines with the Lagrangian
  dual approach
Evaluating robustness of support vector machines with the Lagrangian dual approach
Yuting Liu
Hong Gu
Pan Qin
AAML
243
6
0
05 Jun 2023
A Review of Adversarial Attack and Defense for Classification Methods
A Review of Adversarial Attack and Defense for Classification Methods
Yao Li
Minhao Cheng
Cho-Jui Hsieh
T. C. Lee
AAML
275
95
0
18 Nov 2021
Adversarial Attack across Datasets
Adversarial Attack across Datasets
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Lihong Cao
Cho-Jui Hsieh
AAML
334
5
0
13 Oct 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
334
30
0
05 Sep 2021
With False Friends Like These, Who Can Notice Mistakes?
With False Friends Like These, Who Can Notice Mistakes?AAAI Conference on Artificial Intelligence (AAAI), 2020
Lue Tao
Lei Feng
Jinfeng Yi
Songcan Chen
AAML
479
6
0
29 Dec 2020
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