Jinyuan Jia

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 147

Top Venues

CoRR

USENIX Security Symposium

Web3D

AAAI

Publications

Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. SP (Workshops) (2024)
Xin Huang, Yunfeng Bai, Dong Liang, Feng Tian, Jinyuan Jia
G2L-CariGAN: Caricature Generation from Global Structure to Local Features. AAAI (2024)
Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models. CoRR (2024)
John Li, Nanxi Chen, Jinyuan Jia
Lightweight Web3D Twinning Fire Evacuation Simulation of Metro Station. Web3D (2024)
Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia
PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. USENIX Security Symposium (2024)
Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong
Formalizing and Benchmarking Prompt Injection Attacks and Defenses. USENIX Security Symposium (2024)
Yanting Wang, Wei Zou, Jinyuan Jia
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. CoRR (2024)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. AsiaCCS (2024)
Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran
Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. AsiaCCS (2024)
Wenjie Qu, Dong Yin, Zixin He, Wei Zou, Tianyang Tao, Jinyuan Jia, Jiaheng Zhang
Provably Robust Multi-bit Watermarking for AI-generated Text via Error Correction Code. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. CoRR (2024)
Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. CoRR (2024)
Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
Graph Neural Network Explanations are Fragile. CoRR (2024)
Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. CoRR (2024)
Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations. ICLR (2024)
Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. SP (2023)
Hanting Ye, Guohao Lan, Jinyuan Jia, Qing Wang
Screen Perturbation: Adversarial Attack and Defense on Under-Screen Camera. MobiCom (2023)
Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CVPR (2023)
Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu
Graph Contrastive Backdoor Attacks. ICML (2023)
Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning. NeurIPS (2023)
Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. NeurIPS (2023)
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. NeurIPS (2023)
Xiaojun Liu, Jinyuan Jia, Chang Liu
Survey of lightweighting methods of huge 3D models for online Web3D visualization. Virtual Real. Intell. Hardw. 5 (5) (2023)
Anning Huang, Zhicheng Liu, Qian Zhang, Feng Tian, Jinyuan Jia
Fine-Grained Web3D Culling-Transmitting-Rendering Pipeline. CGI (2023)
Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. USENIX Security Symposium (2023)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. CoRR (2023)
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. CoRR (2023)
Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. NDSS (2023)
Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR (2023)
Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR (2023)
Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. CoRR (2023)
Geng Yu, Chang Liu, Ting Fang, Jinyuan Jia, Enming Lin, Yiqiang He, Siyuan Fu, Long Wang, Lei Wei, Qingyu Huang
A survey of real-time rendering on Web3D application. Virtual Real. Intell. Hardw. 5 (5) (2023)
Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong
Prompt Injection Attacks and Defenses in LLM-Integrated Applications. CoRR (2023)
Huzhiyuan Long, Yufan Yang, Chang Liu, Jinyuan Jia
SRSSIS: Super-Resolution Screen Space Irradiance Sampling for Lightweight Collaborative Web3D Rendering Architecture. CAD/Graphics (2023)
Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. CoRR (2023)
Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CoRR (2023)
Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks. AAAI (2022)
Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty
Deep Neural Network Piration without Accuracy Loss. ICMLA (2022)
Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. CoRR (2022)
Weiqiang Wang, Hantao Zhao, Jinyuan Jia
Lightweight Collision Detection Algorithm in Web3D Robot Simulation Platform. VR Workshops (2022)
Xin Huang, Dong Liang, Hongrui Cai, Juyong Zhang, Jinyuan Jia
CariPainter: Sketch Guided Interactive Caricature Generation. ACM Multimedia (2022)
Ke Li, Hantao Zhao, Qian Zhang, Jinyuan Jia
CEBOW: A Cloud-Edge-Browser Online Web3D approach for visualizing large BIM scenes. Comput. Animat. Virtual Worlds 33 (2) (2022)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. CoRR (2022)
Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. CoRR (2022)
Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning. CoRR (2022)
Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. USENIX Security Symposium (2022)
Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning. CCS (2022)
Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
FLCert: Provably Secure Federated Learning against Poisoning Attacks. CoRR (2022)
Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. KDD (2022)
Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong
FLCert: Provably Secure Federated Learning Against Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. CoRR (2022)
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. ICLR (2022)
Zhicheng Liu, Linzhou Li, Feng Tian, Jinyuan Jia
Lightweight Web3D Crowd Rendering for Online Massive Conferencing. ISMAR Adjunct (2022)
Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. CoRR (2022)
Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. IEEE Symposium on Security and Privacy (2022)
Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
StolenEncoder: Stealing Pre-trained Encoders. CoRR (2022)
Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. NeurIPS (2022)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. USENIX Security Symposium (2022)
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. AsiaCCS (2021)
Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. KDD (2021)
Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. CoRR (2021)
Wen Zhou, Jinyuan Jia, Wenying Jiang, Chenxi Huang
Sketch Augmentation-Driven Shape Retrieval Learning Framework Based on Convolutional Neural Networks. IEEE Trans. Vis. Comput. Graph. 27 (8) (2021)
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Data Poisoning Attacks to Local Differential Privacy Protocols. USENIX Security Symposium (2021)
Xiaojun Liu, Changyan He, Hantao Zhao, Jinyuan Jia, Chang Liu
Building information modeling indoor path planning: A lightweight approach for complex BIM building. Comput. Animat. Virtual Worlds 32 (3-4) (2021)
Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. CoRR (2021)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PointGuard: Provably Robust 3D Point Cloud Classification. CoRR (2021)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
On the Intrinsic Differential Privacy of Bagging. IJCAI (2021)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
PointGuard: Provably Robust 3D Point Cloud Classification. CVPR (2021)
Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
10 Security and Privacy Problems in Self-Supervised Learning. CoRR (2021)
Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Stealing Links from Graph Neural Networks. USENIX Security Symposium (2021)
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. AsiaCCS (2021)
Weiqiang Wang, Jinyuan Jia
Online Collision Avoidance Algorithm for Lightweight Web3D Robot Based on M-BVH. SETE (2021)
Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CoRR (2021)
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Provably Secure Federated Learning against Malicious Clients. AAAI (2021)
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. AAAI (2021)
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Provably Secure Federated Learning against Malicious Clients. CoRR (2021)
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. AAAI (2021)
Xiaojun Liu, Changyan He, Hantao Zhao, Jinyuan Jia, Chang Liu
ExteriorTag: Automatic Semantic Annotation of BIM Building Exterior Via Voxel Index Analysis. IEEE Computer Graphics and Applications 41 (3) (2021)
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Backdoor Attacks to Graph Neural Networks. SACMAT (2021)
Jinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes
Detection Of Malicious DNS and Web Servers using Graph-Based Approaches. ICASSP (2021)
Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CCS (2021)
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
On the Intrinsic Differential Privacy of Bagging. CoRR (2020)
Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. CoRR (2020)
Wen Zhou, Jinyuan Jia
Training deep convolutional neural networks to acquire the best view of a 3D shape. Multim. Tools Appl. 79 (1-2) (2020)
Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Stealing Links from Graph Neural Networks. CoRR (2020)
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. CoRR (2020)
Wen Zhou, Jinyuan Jia
Training convolutional neural network for sketch recognition on large-scale dataset. Int. Arab J. Inf. Technol. 17 (1) (2020)
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. USENIX Security Symposium (2020)
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
Certified Robustness of Nearest Neighbors against Data Poisoning Attacks. CoRR (2020)
Xue Piao, Yang Li, Kang Xie, Hantao Zhao, Jinyuan Jia
Towards Web3D-based Lightweight Crowd Evacuation Simulation. Web3D (2020)
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. CoRR (2020)
Fengting Yan, Yonghao Hu, Jinyuan Jia, Zihao Ai, Kai Tang, Zhicai Shi, Xiang Liu
Interactive WebVR visualization for online fire evacuation training. Multim. Tools Appl. 79 (41-42) (2020)
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Backdoor Attacks to Graph Neural Networks. CoRR (2020)
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. CoRR (2020)
Ke Li, Qian Zhang, Hantao Zhao, Jinyuan Jia
User Interests Driven Collaborative Cloud-Edge-Browser Architecture for WebBIM Visualization. Web3D (2020)
Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. ICLR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jinyuan Jia