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20202024
most citedTowards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing

13 citations · 34 across the 8 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 5 cited

Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment

Junyang Wang, Yi Zhang, Ming Yan +2

CLIP (Contrastive Language-Image Pre-Training) has shown remarkable zero-shot transfer capabilities in cross-modal correlation tasks such as visual classification and image retriev…

cs.LG2022★ 1 cited

Fair Visual Recognition via Intervention with Proxy Features

Yi Zhang, Jitao Sang, Junyang Wang

Deep learning models often learn to make predictions that rely on sensitive social attributes like gender and race, which poses significant fairness risks, especially in societal a…

cs.CV2022★ 3 cited

FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization

Junyang Wang, Yi Zhang, Jitao Sang

The Vision-Language Pre-training (VLP) models like CLIP have gained popularity in recent years. However, many works found that the social biases hidden in CLIP easily manifest in d…

cs.CV2022★ 2 cited

Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models

Yi Zhang, Junyang Wang, Jitao Sang

Vision-Language Pre-training (VLP) models have achieved state-of-the-art performance in numerous cross-modal tasks. Since they are optimized to capture the statistical properties o…

cs.CR2022★ 1 cited

Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias

Shangxi Wu, Qiuyang He, Yi Zhang +1

Backdoor attack is a new AI security risk that has emerged in recent years. Drawing on the previous research of adversarial attack, we argue that the backdoor attack has the potent…