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Found 5 papers, 3 papers with code
Generating Transferable and Stealthy Adversarial Patch via Attention-guided Adversarial Inpainting
In the first stage, we extract multi-scale style embeddings by a pyramid-like network and identity embeddings by a pretrained FR model and propose a novel Attention-guided Adaptive Instance Normalization layer (AAIN) to merge them via background-patch cross-attention maps.
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Unrestricted adversarial attacks present a serious threat to deep learning models and adversarial defense techniques.
Physical-World Optical Adversarial Attacks on 3D Face Recognition
2D face recognition has been proven insecure for physical adversarial attacks.
Generating Unrestricted 3D Adversarial Point Clouds
The unrestricted adversarial attack loss is incorporated in the special adversarial training of GAN, which enables the generator to generate the adversarial examples to spoof the target network.
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks
Although adversarial training (AT) methods such as Adversarial Query (AQ) can improve the adversarially robust performance of meta-learning models, AT is still computationally expensive training.
