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Found 4 papers, 1 papers with code
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval
The vulnerability in the algorithm supply chain of deep learning has imposed new challenges to image retrieval systems in the downstream.
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems
In this paper, we start from an adversarial standpoint to explore and enhance the capacity of targeted black-box transferability attack for deep hashing.
Evade Deep Image Retrieval by Stashing Private Images in the Hash Space
In this paper, we propose a new mechanism based on adversarial examples to "stash" private images in the deep hash space while maintaining perceptual similarity.
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
We show the feasibility of training with mobile CPUs, where training 100 epochs takes less than 10 mins and can be boosted 3-5 times with feature transfer.
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