Yuqi Jia

Orcid: 0009-0007-9293-444X

According to our database1, Yuqi Jia authored at least 22 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening.
CoRR, May, 2026

Evaluating Tool Cloning in Agentic-AI Ecosystems.
CoRR, May, 2026

AlignSentinel: Alignment-Aware Detection of Prompt Injection Attacks.
CoRR, February, 2026

MalTool: Malicious Tool Attacks on LLM Agents.
CoRR, February, 2026

Low storage and fast single-server private information retrieval with sublinear server computation for intelligent medical care.
Knowl. Based Syst., 2026

ObliInjection: Order-Oblivious Prompt Injection Attack to LLM Agents with Multi-source Data.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
Explore Data Left Behind in Reinforcement Learning for Reasoning Language Models.
CoRR, November, 2025

PromptLocate: Localizing Prompt Injection Attacks.
CoRR, October, 2025

WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents.
CoRR, October, 2025

SecInfer: Preventing Prompt Injection via Inference-time Scaling.
CoRR, September, 2025

PromptArmor: Simple yet Effective Prompt Injection Defenses.
CoRR, July, 2025

A Critical Evaluation of Defenses against Prompt Injection Attacks.
CoRR, May, 2025

Periodic Recovery From Poisoning Attacks in Machine Learning.
IEEE Trans. Dependable Secur. Comput., 2025

Evaluating LLM-based Personal Information Extraction and Countermeasures.
Proceedings of the 34th USENIX Security Symposium, 2025

DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Competitive Advantage Attacks to Decentralized Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Evaluating Large Language Model based Personal Information Extraction and Countermeasures.
CoRR, 2024

Formalizing and Benchmarking Prompt Injection Attacks and Defenses.
Proceedings of the 33rd USENIX Security Symposium, 2024

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.
Proceedings of the Computer Vision - ECCV 2024, 2024

An IoT Architecture for Enhancing Safety in Supply Chain Systems.
Proceedings of the 24th IEEE/ACIS International Conference on Computer and Information Science, 2024

2023
Prompt Injection Attacks and Defenses in LLM-Integrated Applications.
CoRR, 2023


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