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Found 3 papers, 1 papers with code
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation
With the frequent use of self-supervised monocular depth estimation in robotics and autonomous driving, the model's efficiency is becoming increasingly important.
Practical and General Backdoor Attacks against Vertical Federated Learning
The main challenge of this attack is to allow an attacker without access to the data labels, to perform an effective attack.
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints
Backdoor attack is a type of serious security threat to deep learning models. An adversary can provide users with a model trained on poisoned data to manipulate prediction behavior in test stage using a backdoor.
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