Results 11 to 20 of about 4,650 (114)
A Defense Method Against FGSM Adversarial Attack [PDF]
Jisuanji gongcheng, 2021 Intelligent ship recognition has been widely used in the military,but it also brings increasingly serious security issues.Even the high performance classification models are still vulnerable to the attacks from adversarial examples.For Fast Gradient Sign
WANG Xiaopeng, LUO Wei, QIN Ke, YANG Jintao, WANG Min
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Survey on adversarial attacks and defense of face forgery and detection
网络与信息安全学报, 2023 Face forgery and detection has become a research hotspot.Face forgery methods can produce fake face images and videos.Some malicious videos, often targeting celebrities, are widely circulated on social networks, damaging the reputation of victims and ...
Shiyu HUANG, Feng YE, Tianqiang HUANG, Wei LI, Liqing HUANG, Haifeng LUO
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Robust Rumor Detection based on Multi-Defense Model Ensemble
Applied Artificial Intelligence, 2023 The development of adversarial technology, represented by adversarial text, has brought new challenges to rumor detection based on deep learning. In order to improve the robustness of rumor detection models under adversarial conditions, we propose a ...
Fan Yang, Shaomei Li
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Adversarial Attacks Defense Method Based on Multiple Filtering and Image Rotation
Discrete Dynamics in Nature and Society, 2022 Adversarial examples in an image classification task cause neural networks to predict incorrect class labels with high confidence. Many applications related to image classification, such as self-driving and facial recognition, have been seriously ...
Feng Li, Xuehui Du, Liu Zhang
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Ensemble Adversarial Example Defense Based on Generative Adversarial Network
工程科学与技术, 2022 Given the bottlenecks of existing adversarial example defense schemes, such as insufficient defense capability and high time consumption, an ensemble adversarial example defense scheme based on the generative adversarial network was proposed in this ...
Tianjie CAO +5 more
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Defending Against Adversarial Fingerprint Attacks Based on Deep Image Prior
IEEE Access, 2023 Recently, deep learning-based biometric authentication systems, especially fingerprint authentication, have been used widely in real-world. However, these systems are vulnerable to adversarial attacks which prevent deep learning models from ...
Hwajung Yoo +4 more
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Adversarial attack and defense on graph neural networks: a survey
网络与信息安全学报, 2021 For the numerous existing adversarial attack and defense methods on GNN, the main adversarial attack and defense algorithms of GNN were reviewed comprehensively, as well as robustness analysis techniques.Besides, the commonly used benchmark datasets and ...
Jinyin CHEN +4 more
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Textual Adversarial Training Method Based on Distributed Perturbation [PDF]
Jisuanji gongcheng, 2023 Text adversarial defense aims to enhance the resilience of neural network models against different adversarial attacks. The current text confrontation defense methods are usually only effective against certain specific confrontation attacks and have ...
Zhidong SHEN, Hengxian YUE
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Deepfake Cross-Model Defense Method Based on Generative Adversarial Network [PDF]
Jisuanji gongchengTo reduce social risks caused by the abuse of deepfake technology, an active defense method against deep forgery based on a Generative Adversarial Network (GAN) is proposed. Adversarial samples are created by adding imperceptible perturbation to original
DAI Lei, CAO Lin, GUO Yanan, ZHANG Fan, DU Kangning
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Big Data and Cognitive Computing, 2020 In this work, we propose a novel defense system against adversarial examples leveraging the unique power of Generative Adversarial Networks (GANs) to generate new adversarial examples for model retraining. To do so, we develop an automated pipeline using
Shayan Taheri +3 more
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