Qi Pang

activity

20202025

most citedTowards practical differentially private causal graph discovery

3 citations · 6 across the 4 of their papers we have counts for

collaborators

Showing cs.CRShow all

3 papers · 1 filter

cs.CR2025

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts

Qingyue Wang, Qi Pang, Xixun Lin +2

Mixture-of-Experts (MoE) have emerged as a powerful architecture for large language models (LLMs), enabling efficient scaling of model capacity while maintaining manageable computa…

cs.CR2021★ 1 cited

FED- $χ^{2}$ : Privacy Preserving Federated Correlation Test

Lun Wang, Qi Pang, Shuai Wang +1

In this paper, we propose the first secure federated $χ^{2}$ -test protocol Fed- $χ^{2}$ . To minimize both the privacy leakage and the communication cost, we recast $χ^{2}$ -test to the sec…

cs.CR2020★ 3 cited

Towards practical differentially private causal graph discovery

Lun Wang, Qi Pang, Dawn Song

Causal graph discovery refers to the process of discovering causal relation graphs from purely observational data. Like other statistical data, a causal graph might leak sensitive…

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts

FED-χ2: Privacy Preserving Federated Correlation Test

Towards practical differentially private causal graph discovery

FED- $χ^{2}$ : Privacy Preserving Federated Correlation Test