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20112023
most citedNode-Level Membership Inference Attacks Against Graph Neural Networks

50 citations · 185 across the 23 of their papers we have counts for

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36 papers · 1 filter

cs.CR20221 cited

A Systematic Study of the Consistency of Two-Factor Authentication User Journeys on Top-Ranked Websites (Extended Version)

Sanam Ghorbani Lyastani, Michael Backes, Sven Bugiel

Heuristics for user experience state that users will transfer their expectations from one product to another. A lack of consistency between products can increase users' cognitive f…

cs.CR20227 cited

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model

Haiming Wang, Zhikun Zhang, Tianhao Wang +4

Publishing trajectory data (individual's movement information) is very useful, but it also raises privacy concerns. To handle the privacy concern, in this paper, we apply different…

cs.CR20224 cited

Backdoor Attacks in the Supply Chain of Masked Image Modeling

Xinyue Shen, Xinlei He, Zheng Li +3

Masked image modeling (MIM) revolutionizes self-supervised learning (SSL) for image pre-training. In contrast to previous dominating self-supervised methods, i.e., contrastive lear…

cs.CR202220 cited

Membership Inference Attacks Against Text-to-image Generation Models

Yixin Wu, Ning Yu, Zheng Li +2

Text-to-image generation models have recently attracted unprecedented attention as they unlatch imaginative applications in all areas of life. However, developing such models requi…

cs.CR2022

UnGANable: Defending Against GAN-based Face Manipulation

Zheng Li, Ning Yu, Ahmed Salem +3

Deepfakes pose severe threats of visual misinformation to our society. One representative deepfake application is face manipulation that modifies a victim's facial attributes in an…

cs.CR20211 cited

Get a Model! Model Hijacking Attack Against Machine Learning Models

Ahmed Salem, Michael Backes, Yang Zhang

Machine learning (ML) has established itself as a cornerstone for various critical applications ranging from autonomous driving to authentication systems. However, with this increa…