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Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security

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User authentication on mobile devices: Approaches, threats and trends
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Frequency constraint-based adversarial attack on deep neural networks for medical image classification
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Security of Open Radio Access Networks
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Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework
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Improving adversarial transferability via adaptive ensemble attack with post-optimization
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QuadAt-GAN: Quad attention enabled generative adversarial network for photorealistic image generation
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Adversarial attack vulnerability of medical image analysis systems: Unexplored factors
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Understanding adversarial training: Increasing local stability of supervised models through robust optimization
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FADER: Fast adversarial example rejection
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