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Wang Li

3 accepted papers

2025

Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy

ICML 2025poster

Large Language Models (LLMs) have gained significant popularity due to their remarkable capabilities in text understanding and generation. However, despite their widespread deployment in inference services such as ChatGPT, concerns about the potential leakage of sensitive user data have arisen. Exis…

Cited by 0SourcePDFScholar
2025

ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation

NeurIPS 2025poster

Diffusion Models have gained significant popularity due to their remarkable capabilities in image generation, albeit at the cost of intensive computation requirement. Meanwhile, despite their widespread deployment in inference services such as Midjourney, concerns about the potential leakage of sens…

Cited by 0SourceScholar
2021

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation

NeurIPS 2021poster

Social recommendation has shown promising improvements over traditional systems since it leverages social correlation data as an additional input. Most existing work assumes that all data are available to the recommendation platform. However, in practice, user-item interaction data (e.g.,rating) and…

Cited by 44SourcePDFScholar