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Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks.

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Title: Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks.
Authors: Karunanayake, Naveen1, naveenharshitha95@gmail.com, Silva, Bhanuka1, bhanukamalith@gmail.com, Ginige, Yasod1, yasodginige98@gmail.com, Seneviratne, Suranga1, suranga.seneviratne@sydney.edu.au, Chawla, Sanjay2, schawla@hbku.edu.qa
Source: ACM Transactions on Privacy & Security; May2025, Vol. 28 Issue 2, p1-30, 30p
Database: Applied Science & Technology Source
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  Data: Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks.
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        Value: 10.1145/3716384
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      – TitleFull: Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks.
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              Text: May2025
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