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08/20/2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
In this paper, we investigate the adversarial robustness of vision trans...
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03/14/2023
Diversity-Aware Meta Visual Prompting
We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient ...
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12/12/2022
CLIP Itself is a Strong Fine-tuner: Achieving 85.7 Accuracy with ViT-B and ViT-L on ImageNet
Recent studies have shown that CLIP has achieved remarkable success in p...
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09/16/2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition
Notwithstanding the prominent performance achieved in various applicatio...
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08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
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07/14/2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
We propose bootstrapped masked autoencoders (BootMAE), a new approach fo...
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03/08/2022
Shape-invariant 3D Adversarial Point Clouds
Adversary and invisibility are two fundamental but conflict characters o...
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03/02/2022
Protecting Celebrities with Identity Consistency Transformer
In this work we propose Identity Consistency Transformer, a novel face f...
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11/24/2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
This paper explores a better codebook for BERT pre-training of vision tr...
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08/12/2021
Mobile-Former: Bridging MobileNet and Transformer
We present Mobile-Former, a parallel design of MobileNet and Transformer...
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07/01/2021
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
We present CSWin Transformer, an efficient and effective Transformer-bas...
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12/07/2020
Identity-Driven DeepFake Detection
DeepFake detection has so far been dominated by “artifact-driven” method...
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11/01/2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks
Deep neural networks have made tremendous progress in 3D point-cloud rec...
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10/26/2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Modern deep neural networks(DNNs) are vulnerable to adversarial samples....
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07/20/2020
Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry
As an efficient watermark attack method, geometric distortions destroy t...
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08/14/2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Modern deep neural networks are often vulnerable to adversarial samples....
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11/03/2018
