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cs.LG2025
Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence
Shuangyi Chen, Ashish Khisti
We study black-box detection of machine-generated text under practical constraints: the scoring model (proxy LM) may mismatch the unknown source model, and per-input contrastive ge…
cs.CR2025
Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption
Erfan Hosseini, Shuangyi Chen, Ashish Khisti
A key operation in federated learning is the aggregation of gradient vectors generated by individual client nodes. We develop a method based on multiparty homomorphic encryption (M…
cs.LG2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Shuangyi Chen, Yuanxin Guo, Yue Ju +3
Parameter-Efficient Fine-Tuning (PEFT) methods like Low-Rank Adaptation (LoRA) optimize federated training by reducing computational and communication costs. We propose RoLoRA, a f…