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Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

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樓主: melancholy
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發(fā)表于 2025-3-30 10:36:56 | 只看該作者
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發(fā)表于 2025-3-30 16:28:05 | 只看該作者
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發(fā)表于 2025-3-30 16:55:32 | 只看該作者
Differential Fault Analysis Against AES Based on a Hybrid Fault Modelund, thus it is easier to carry out to an attacker. When considering AES-192, fewer faulty ciphertexts are needed. In addition, for both AES-192 and 256, our method requires fewer depths of induced fault (the entire key can be retrieved only need to induce fault in the T-2 round). Thus, the DFA proposed in this article is more efficient.
54#
發(fā)表于 2025-3-30 22:03:47 | 只看該作者
Towards Undetectable Adversarial Examples: A Steganographic Perspectivehe proposed scheme is compatible with various existing attacks and can significantly boost the undetectability of adversarial examples against both human inspection and statistical analysis of the same attack ability. The code is available at ..
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發(fā)表于 2025-3-31 01:27:20 | 只看該作者
On Efficient Federated Learning for?Aerial Remote Sensing Image Classification: A Filter Pruning Appfrom the perspective of the whole neural networks; and 2) a communication-efficient one-shot pruning mechanism without data transmission from the devices. Comprehensive experiment results show that CALIM-FL is effective in a variety of scenarios, with a resource overhead saving of 88.4% at the cost of . accuracy loss.
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