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20192026
most citedHow to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN

142 citations · 144 across the 14 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CR2025

One Risk Down, Another Up: Cross-Risk Interactions Induced by LLM Defenses

Xiangtao Meng, Tianshuo Cong, Li Wang +4

Large Language Models (LLMs) are increasingly deployed in high-stakes settings, where they face diverse risks. Numerous defense strategies have been proposed to mitigate these risk…

cs.CR2025

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation

Xinyu Gao, Xiangtao Meng, Yingkai Dong +2

While Retrieval-Augmented Generation (RAG) effectively reduces hallucinations by integrating external knowledge bases, it introduces vulnerabilities to membership inference attacks…

cs.CV2025

Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification

Xiangtao Meng, Yingkai Dong, Ning Yu +3

Text-to-image (T2I) generative models have achieved remarkable visual fidelity, yet remain vulnerable to generating unsafe content. Existing safety defenses typically intervene int…

cs.CR2025

FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation

Li Wang, Zheng Li, Xuhong Zhang +2

DeepFakes pose a significant threat to our society. One representative DeepFake application is face-swapping, which replaces the identity in a facial image with that of a victim. A…

cs.CR2025

Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment

Li Wang, Wenyu Chen, Xiangtao Meng +2

The rapid proliferation of highly realistic AI-generated images poses serious security threats such as misinformation and identity fraud. Detecting generated images in open-world s…