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20232026
most citedDetecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

4 citations · 5 across the 5 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.LG2024

Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds

Shuhai Zhang, Jiahao Yang, Hui Luo +5

Deep neural networks (DNNs) are vulnerable to adversarial samples crafted by adding imperceptible perturbations to clean data, potentially leading to incorrect and dangerous predic…

cs.CL2024★ 1 cited

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy

Shuhai Zhang, Yiliao Song, Jiahao Yang +3

Large language models (LLMs) such as ChatGPT have exhibited remarkable performance in generating human-like texts. However, machine-generated texts (MGTs) may carry critical risks,…