Improving the invisibility of adversarial examples with perceptually adaptive perturbation

Boosting cross‐task adversarial attack with random blur

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GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack

(2022) Hui Liu et al.   INFORMATION SCIENCES

Compound adversarial examples in deep neural networks

(2022) Yanchun Li et al.   INFORMATION SCIENCES

Black-box adversarial attacks by manipulating image attributes

(2020) Xingxing Wei et al.   INFORMATION SCIENCES

Detecting Adversarial Examples via Prediction Difference for Deep Neural Networks

(2019) Feng Guo et al.   INFORMATION SCIENCES

Just Noticeable Difference for Images With Decomposition Model for Separating Edge and Textured Regions

(2010) Anmin Liu et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY