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Gongshen Liu β most-cited papers & profile Β· Multimodal
β authors
Β·
overview
Gongshen Liu
27
papers Β·
20
citations
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review
2023 Β· 7 citations
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
2022 Β· 6 citations
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
2024 Β· 5 citations
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering
2022 Β· 1 citations
LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion
2023 Β· 1 citations
ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data
2026
GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning
2026
GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning
2026
SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
2026
ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data
2026
ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data
2026
EmbTracker: Traceable Black-box Watermarking for Federated Language Models
2026
Revisiting Backdoor Threat in Federated Instruction Tuning from a Signal Aggregation Perspective
2026
Revisiting Backdoor Threat in Federated Instruction Tuning from a Signal Aggregation Perspective
2026
Patronus: Identifying and Mitigating Transferable Backdoors in Pre-trained Language Models
2025
Topics
Adversarial ML
LLM Security
Vulnerability Detection
Threat Intelligence
cs.CR
Anomaly Detection
Fine-Tuning
Safety & Alignment
cs.AI
Federated Learning