1 citations · 1 across the 9 of their papers we have counts for
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Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks
Ngoc-Bao Nguyen, Sy-Tuyen Ho, Koh Jun Hao +1
Model inversion (MI) attacks pose significant privacy risks by reconstructing private training data from trained neural networks. While prior studies have primarily examined unimod…
Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment
Sy-Tuyen Ho, Koh Jun Hao, Ngoc-Bao Nguyen +2
Model Inversion attacks aim to reconstruct information from private training data by exploiting access to a target model. Nearly all recent MI studies evaluate attack success using…
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani +1
While ViTs have achieved across machine learning tasks, deploying them in real-world scenarios faces a critical challenge: generalizing under OoD shifts. A crucial research gap exi…
Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai +4
Model Inversion (MI) attacks pose a significant privacy threat by reconstructing private training data from machine learning models. While existing defenses primarily concentrate o…