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20212026
most citedFLVoogd: Robust And Privacy Preserving Federated Learning

8 citations · 17 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.DC2026

Privacy-preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning

Naicheng Li, Javad Dogani, Rui Wang +2

Traditional federated learning (FL) relies on a central aggregator server, which can create performance bottlenecks and privacy risks. Decentralized mix-and-forward designs remove…

cs.CR2026

ReTokSync: Self-Synchronizing Tokenization Disambiguation for Generative Linguistic Steganography

Yaofei Wang, Rui Wang, Weilong Pang +4

Generative linguistic steganography (GLS) enables covert communication by embedding secret messages into the natural language generation process. In practical deployment, however,…

cs.CR2026

DETOUR: A Practical Backdoor Attack against Object Detection

Dazhuang Liu, Yanqi Qiao, Rui Wang +2

Object detection (OD) is critical to real-world vision systems, yet existing backdoor attacks on detection transformers (DETRs) for OD tasks rely on patch-wise triggers optimized a…

cs.CR2026

A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations

Zihan Liu, Yizhen Wang, Rui Wang +2

Fine-tuning unlocks large language models (LLMs) for specialized applications, but its high computational cost often puts it out of reach for resource-constrained organizations. Wh…

cs.CV2026

PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers

Dazhuang Liu, Yanqi Qiao, Rui Wang +2

Vision Transformers (ViTs) have achieved remarkable success across vision tasks, yet recent studies show they remain vulnerable to backdoor attacks. Existing patch-wise attacks typ…