Explaining and Harnessing Adversarial Examples
, 2014 Several machine learning models, including neural networks, consistently misclassify adversarial examples---inputs formed by applying small but intentionally worst-case perturbations to examples from the dataset, such that the perturbed input results in the model outputting an incorrect answer with high confidence.
Ian J. Goodfellow +2 more
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DeepFake detection against adversarial examples based on D‐VAEGAN [PDF]
, 2023 Ping Chen, Ming Xu, J. Qi
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Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction [PDF]
, 2018 Bin Liang +5 more
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POSES: Patch Optimization Strategies for Efficiency and Stealthiness Using eXplainable AI
IEEE AccessAdversarial examples, which are carefully crafted inputs designed to deceive deep learning models, create significant challenges in Artificial Intelligence.
Han-Ju Lee +3 more
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Adversarial Example Generation Method Based on Wavelet Transform
InformationAdversarial examples are crucial tools for assessing the robustness of deep neural networks (DNNs) and revealing potential security vulnerabilities.
Meng Bi +5 more
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Developing Hessian–Free Second–Order Adversarial Examples for Adversarial Training
International Journal of Applied Mathematics and Computer ScienceRecent studies show that deep neural networks (DNNs) are extremely vulnerable to elaborately designed adversarial examples. Adversarial training, which uses adversarial examples as training data, has been proven to be one of the most effective methods of
Qian Yaguan +5 more
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Targeted Discrepancy Attacks: Crafting Selective Adversarial Examples in Graph Neural Networks
IEEE AccessIn this study, we present a novel approach to adversarial attacks for graph neural networks (GNNs), specifically addressing the unique challenges posed by graphical data.
Hyun Kwon, Jang-Woon Baek
doaj +1 more source
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction [PDF]
, 2019 Yantao Lu +6 more
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A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples [PDF]
, 2021 Jiali Wang, Martin Neil
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Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness [PDF]
, 2023 Ambar Pal, Jeremias Sulam, Renè Vidal
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