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20242026
most citedSafely Learning with Private Data: A Federated Learning Framework for Large Language Model

28 citations · 28 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AI2026

More: Mode-Optimized Reasoning with Self-Adaptive Effort for Self-Evolving Agents

Dianxing Shi, Dingjie Fu, Tianyu Lei +1

Self-evolving training improves the performance of agents on difficult tasks through verifiable feedback, but it often applies costly deliberation uniformly across tasks. To addres…

cs.CR2026

ContractLens: Latent Security Knowledge for Malicious Smart Contract Detection

Shuyi Miao, Xinyi Huang, Wangjie Qiu +4

Detecting malicious smart contracts is essential to safeguarding the Web3.0 ecosystem. However, existing auditing methods based on large language models (LLMs) largely rely on prom…

cs.AI2026

Who Bridges Safety? Identifying and Targeting Cross-Lingual Shared Safety Pathways

Shuyi Miao, Wangjie Qiu, Pengyang Shao +4

Uncovering the internal mechanisms underlying the safety capabilities of large language models (LLMs) is crucial for developing trustworthy artificial intelligence. Currently, mech…

cs.CR2026

E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems

Zelin Guan, Shengda Zhuo, Zeyan Li +4

Retrieval-Augmented Generation (RAG) equips large language models (LLMs) with external evidence by retrieving documents at inference time, but it also turns the retrieval corpusint…

cs.CV2026

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning

Yuhua Wang, Qinnan Zhang, Xiaodong Li +6

Prototype-based Personalized Federated Learning (ProtoPFL) enables efficient multi-domain adaptation by communicating compact class prototypes, but directly sharing them poses priv…

cs.CR2026

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains

Shuyi Miao, Wangjie Qiu, Shengda Zhuo +5

As cross-chain interoperability advances, decentralized finance (DeFi) protocols enable illicit funds to be reorganized into uniform liquid assets that flow throughout the cryptocu…

cs.NI2025

ContribChain: A Stress-Balanced Blockchain Sharding Protocol with Node Contribution Awareness

Xinpeng Huang, Wanqing Jie, Shiwen Zhang +8

Existing blockchain sharding protocols have focused on eliminating imbalanced workload distributions. However, even with workload balance, disparities in processing capabilities ca…

cs.SI2024

Know Your Account: Double Graph Inference-based Account De-anonymization on Ethereum

Shuyi Miao, Wangjie Qiu, Hongwei Zheng +6

The scaled Web 3.0 digital economy, represented by decentralized finance (DeFi), has sparked increasing interest in the past few years, which usually relies on blockchain for token…

cs.CR2024★ 28 cited

Safely Learning with Private Data: A Federated Learning Framework for Large Language Model

JiaYing Zheng, HaiNan Zhang, LingXiang Wang +3

Private data, being larger and quality-higher than public data, can greatly improve large language models (LLM). However, due to privacy concerns, this data is often dispersed in m…

cs.LG2024

Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning

Yujing Wang, Hainan Zhang, Sijia Wen +2

Federated learning is highly susceptible to model poisoning attacks, especially those meticulously crafted for servers. Traditional defense methods mainly focus on updating assessm…