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cs.LG2025
SIDE: Surrogate Conditional Data Extraction from Diffusion Models
Yunhao Chen, Shujie Wang, Difan Zou +1
As diffusion probabilistic models (DPMs) become central to Generative AI (GenAI), understanding their memorization behavior is essential for evaluating risks such as data leakage,…
cs.LG2025
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
Jiaming Zhang, Junhong Ye, Xingjun Ma +5
Due to their multimodal capabilities, Vision-Language Models (VLMs) have found numerous impactful applications in real-world scenarios. However, recent studies have revealed that V…
cs.LG2024
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen, Zihui Yan, Yunjie Zhu
Generative data augmentation (GDA) has emerged as a promising technique to alleviate data scarcity in machine learning applications. This thesis presents a comprehensive survey and…