Mar 7, 2024 · In light of this, in this article, we propose an advancing few-shot black-box attack with alternating training scheme using few data and ...
Specifically, we propose an alternating training approach consisting of two parts, both aimed at optimizing the substitute network, which alternate and ...
Dec 9, 2024 · In light of this, in this article, we propose an advancing few-shot black-box attack with alternating training scheme using few data and ...
This article proposes an advancing few-shot black-box attack with alternating training scheme using few data and alternating training to improve the ...
4) Experiments demonstrate the adaptability and reduced query cost advantages of our approach compared to ex- isting methods in the field of black-box attacks.
Title: Advancing Few-Shot Black-Box Attack With Alternating Training. Authors: Lingzhuang Meng, Mingwen Shao, Fan Wang, Yuanjian Qiao, Zhaofei Xu; Authorids ...
In this work, we argue that black-box attacks can pose practical attacks in this extremely restrictive scenario where only several test samples are available.
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Apr 4, 2023 · We describe a black-box method for VL few-shot adaptation that (a) operates on pre-computed image and text features and hence works without access to the model ...
Missing: Advancing Attack
This article proposes an advancing few-shot black-box attack with alternating training scheme using few data and alternating training to improve the ...
Sep 24, 2024 · In summary, we discuss four practical adversarial attack scenarios in text multi-task learning: few-query attacks, black-box attacks, multi- ...
Missing: Alternating | Show results with:Alternating