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Found 2 papers, 1 papers with code
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
Using various datasets such as ImageNet-1000, CIFAR-100, and CIFAR-10 are used to evaluate the black-box attacks.
Impact of Architectural Modifications on Deep Learning Adversarial Robustness
By conducting our experiments, we aim to shed light on the critical issue of maintaining the reliability and safety of deep learning models in safety- and security-critical applications.
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