Adaptive Box-constraint Optimization Method for Adversarial Attacks
Deep neural networks are vulnerable to adversarial example attacks.Existing transfer-based attack optimization methods commonly employ fixed constraint upper bounds to represent imperceptibility intensity,focusing primarily on improving attack success rates.However,such approaches overlook inter-sam...
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| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial office of Computer Science
2026-01-01
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| シリーズ: | Jisuanji kexue |
| 主題: | |
| オンライン･アクセス: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2026-53-1-404.pdf |
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