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20182023
most citedDeep Synthetic Minority Over-Sampling Technique

29 citations · 65 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 1 cited

Towards CGAN-based Satellite Image Synthesis with Partial Pixel-Wise Annotation

Hadi Mansourifar, Steven J. Simske

Conditional Generative Adversarial Nets (CGANs) need a significantly huge dataset with a detailed pixel-wise annotation to generate high-quality images. Unfortunately, any amount o…

cs.CV2023★ 5 cited

GAN-Based Object Removal in High-Resolution Satellite Images

Hadi Mansourifar, Steven J. Simske

Satellite images often contain a significant level of sensitive data compared to ground-view images. That is why satellite images are more likely to be intentionally manipulated to…

cs.CV2022

RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries

Keshav Kasichainula, Hadi Mansourifar, Weidong Shi

Recent successful adversarial attacks on face recognition show that, despite the remarkable progress of face recognition models, they are still far behind the human intelligence fo…

cs.CV2020★ 2 cited

Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack

Hadi Mansourifar, Weidong Shi

Rounding confidence score is considered trivial but a simple and effective countermeasure to stop gradient descent based image reconstruction attacks. However, its capability in th…

cs.CV2020★ 9 cited

One-Shot GAN Generated Fake Face Detection

Hadi Mansourifar, Weidong Shi

Fake face detection is a significant challenge for intelligent systems as generative models become more powerful every single day. As the quality of fake faces increases, the train…