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Found 4 papers, 1 papers with code
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Moreover, federated learning in IoT usually has a large number of devices involved in training, and the limited communication resource of cloud servers become a bottleneck for training.
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
Our pre-trained model can improve the SOTAs in these tasks from 53% to 64%, 49% to 60%, and 74% to 94%, respectively.
Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive Patches
Existing defense methods often necessitate modifications to the target model or result in unacceptable time overhead.
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
Recently, the object detection based on deep learning has proven to be vulnerable to adversarial patch attacks.
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