Jinghuai Zhang

According to our database, Jinghuai Zhang authored at least 30 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage.

Shahinul Hoque, Jinghuai Zhang, Jinyuan Sun, Fnu Suya

CoRR, May, 2026

What-If World: A Causal Benchmark for General World Models in Embodied Scenarios.

Kunlin Cai, Rui Song, Jinghuai Zhang, Kaiyuan Zhang, Pranav Bodapati, Alicia Yu, Fnu Suya, Mohammad Rostami, Jiaqi Ma, Yuan Tian

CoRR, May, 2026

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection.

Danyu Sun, Jinghuai Zhang, Yuan Tian, Zhou Li

CoRR, May, 2026

FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models.

Zixuan Weng, Jinghuai Zhang, Kunlin Cai, Ying Li, Peiran Wang, Yuan Tian

CoRR, April, 2026

The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis.

Peiran Wang, Xinfeng Li, Chong Xiang, Jinghuai Zhang, Ying Li, Lixia Zhang, Xiaofeng Wang, Yuan Tian

CoRR, February, 2026

When Agents "Misremember" Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems.

Naen Xu, Hengyu An, Shuo Shi, Jinghuai Zhang, Chunyi Zhou, Changjiang Li, Tianyu Du, Zhihui Fu, Jun Wang, Shouling Ji

CoRR, February, 2026

FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks.

Naen Xu, Jinghuai Zhang, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Zhaoxiang Wang, Shouling Ji

CoRR, January, 2026

FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks.

Naen Xu, Jinghuai Zhang, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Zhaoxiang Wang, Shouling Ji

Proceedings of the ACM Web Conference 2026, 2026

From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR).

Kunlin Cai, Jinghuai Zhang, Ying Li, Zhiyuan Wang, Xun Chen, Tianshi Li, Yuan Tian

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models.

Zixuan Weng, Jinghuai Zhang, Kunlin Cai, Ying Li, Peiran Wang, Yuan Tian

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ACIArena: Toward Unified Evaluation for Agent Cascading Injection.

Hengyu An, Minxi Li, Jinghuai Zhang, Naen Xu, Chunyi Zhou, Changjiang Li, Xiaogang Xu, Tianyu Du, Shouling Ji

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?

Naen Xu, Jinghuai Zhang, Changjiang Li, Hengyu An, Chunyi Zhou, Jun Wang, Boyu Xu, Yuyuan Li, Tianyu Du, Shouling Ji

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data.

Shuo Shi, Jinghuai Zhang, Shijie Jiang, Chunyi Zhou, Yuyuan Li, Mengying Zhu, Yangyang Wu, Tianyu Du

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection.

Danyu Sun, Jinghuai Zhang, Jiacen Xu, Yu Zheng, Yuan Tian, Zhou Li

CoRR, July, 2025

Chimera: Creating Digitally Signed Fake Photos by Fooling Image Recapture and Deepfake Detectors.

Seongbin Park, Alexander Vilesov, Jinghuai Zhang, Hossein Khalili, Yuan Tian, Achuta Kadambi, Nader Sehatbakhsh

Proceedings of the 34th USENIX Security Symposium, 2025

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning.

Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Gong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing.

Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models.

Naen Xu, Jinghuai Zhang, Changjiang Li, Zhi Chen, Chunyi Zhou, Qingming Li, Tianyu Du, Shouling Ji

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents.

Hengyu An, Jinghuai Zhang, Tianyu Du, Chunyi Zhou, Qingming Li, Tao Lin, Shouling Ji

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

BadMerging: Backdoor Attacks Against Model Merging.

Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian

CoRR, 2024

Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation.

Kunlin Cai, Jinghuai Zhang, Zhiqing Hong, William Shand, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Data Poisoning Based Backdoor Attacks to Contrastive Learning.

Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BadMerging: Backdoor Attacks Against Model Merging.

Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees.

Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Evading Watermark based Detection of AI-Generated Content.

Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving.

Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, L. Jeff Hong

ACM Trans. Intell. Syst. Technol., 2022

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning.

Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

CoRR, 2022

2021

Multimodal Motion Prediction With Stacked Transformers.

Yicheng Liu, Jinghuai Zhang, Liangji Fang, Qinhong Jiang, Bolei Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving.

Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, L. Jeff Hong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Style Mixer: Semantic-aware Multi-Style Transfer Network.

Zixuan Huang, Jinghuai Zhang, Jing Liao

Comput. Graph. Forum, 2019