4 citations · 5 across the 4 of their papers we have counts for
4 papers
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization
Shunan Zhu, Jiawei Chen, Yonghao Yu +1
As high quality public data becomes scarce, Federated Learning (FL) provides a vital pathway to leverage valuable private user data while preserving privacy. However, real-world cl…
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
Aihua Pei, Zehua Yang, Shunan Zhu +2
Traditional methods for evaluating the robustness of large language models (LLMs) often rely on standardized benchmarks, which can escalate costs and limit evaluations across varie…
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures
Yonghao Yu, Shunan Zhu, Jinglu Hu
Distillation-based federated learning has emerged as a promising collaborative learning approach, where clients share the output logit vectors of a public dataset rather than their…
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion
Yonghao Yu, Shunan Zhu, Huai Qin +1
Witnessing the evolution of text-to-image diffusion models, significant strides have been made in text-to-3D generation. Currently, two primary paradigms dominate the field of text…