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20232026
most citedPrivacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

7 citations · 17 across the 51 of their papers we have counts for

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5 papers · 1 filter

cs.CR2026

MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents

Yv Zhang, Hao Sun, Hao Fang +5

External memory has become a core component of modern web agents, enabling long-horizon reasoning through the retrieval of past experiences. However, this paradigm introduces a cri…

cs.CR2026

Bypassing Copyright Protection in Diffusion-based Customization via Two-Stage Latent Feature Optimization

Ziang Xu, Wenbo Yu, Hongyao Yu +6

With the growing concerns over copyright infringement in diffusion-based customization, adversarial attacks have emerged as a prominent defense strategy to prevent malicious conten…

cs.CR2026

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation

Sixu Chen, Xiang Chen, Hongyao Yu +5

The widespread deployment and redistribution of large language models (LLMs) have made model provenance tracking a critical challenge. While existing LLM fingerprinting methods, pa…

cs.CR2024

WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking

Yuqi Tan, Xiang Liu, Shuzhao Xie +3

3D Gaussian Splatting (3DGS) has emerged as a pivotal technique for 3D scene representation, providing rapid rendering speeds and high fidelity. As 3DGS gains prominence, safeguard…

cs.CR2024

Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering

Hongyao Yu, Yixiang Qiu, Hao Fang +6

Model Inversion Attacks (MIAs) pose a significant threat to data privacy by reconstructing sensitive training samples from the knowledge embedded in trained machine learning models…