Jinyuan Jia

According to our database, Jinyuan Jia authored at least 69 papers between 2017 and 2024.

Collaborative distances:

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

2024

Graph Neural Network Explanations are Fragile.

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

CoRR, 2024

Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation.

Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen

CoRR, 2024

TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.

Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song

CoRR, 2024

FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models.

Yanting Wang, Wei Zou, Jinyuan Jia

CoRR, 2024

MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models.

Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia

CoRR, 2024

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran

CoRR, 2024

PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models.

Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia

CoRR, 2024

Provably Robust Multi-bit Watermarking for AI-generated Text via Error Correction Code.

Wenjie Qu, Dong Yin, Zixin He, Wei Zou, Tianyang Tao, Jinyuan Jia, Jiaheng Zhang

CoRR, 2024

Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran

CoRR, 2024

ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran

Proceedings of the 33rd USENIX Security Symposium, 2024

Formalizing and Benchmarking Prompt Injection Attacks and Defenses.

Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 33rd USENIX Security Symposium, 2024

Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning.

Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the IEEE Security and Privacy, 2024

GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations.

Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran

CoRR, 2023

TextGuard: Provable Defense against Backdoor Attacks on Text Classification.

Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song

CoRR, 2023

Prompt Injection Attacks and Defenses in LLM-Integrated Applications.

Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong

CoRR, 2023

On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?

Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu

CoRR, 2023

PORE: Provably Robust Recommender Systems against Data Poisoning Attacks.

Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong

Proceedings of the 32nd USENIX Security Symposium, 2023

FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information.

Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning.

Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning.

Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI.

Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service.

Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Screen Perturbation: Adversarial Attack and Defense on Under-Screen Camera.

Hanting Ye, Guohao Lan, Jinyuan Jia, Qing Wang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Graph Contrastive Backdoor Attacks.

Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu

Proceedings of the International Conference on Machine Learning, 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

2022

Privacy Protection via Adversarial Examples.

Jinyuan Jia

PhD thesis, 2022

FLCert: Provably Secure Federated Learning Against Poisoning Attacks.

Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong

IEEE Trans. Inf. Forensics Secur., 2022

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning.

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

CoRR, 2022

StolenEncoder: Stealing Pre-trained Encoders.

Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong

CoRR, 2022

Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data.

Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 31st USENIX Security Symposium, 2022

PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning.

Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 31st USENIX Security Symposium, 2022

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning.

Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples.

Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients.

Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deep Neural Network Piration without Accuracy Loss.

Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations.

Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong

Proceedings of the Tenth International Conference on Learning Representations, 2022

StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning.

Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks.

Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

10 Security and Privacy Problems in Self-Supervised Learning.

Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong

CoRR, 2021

Stealing Links from Graph Neural Networks.

Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang

Proceedings of the 30th USENIX Security Symposium, 2021

Data Poisoning Attacks to Local Differential Privacy Protocols.

Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 30th USENIX Security Symposium, 2021

Backdoor Attacks to Graph Neural Networks.

Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the SACMAT '21: The 26th ACM Symposium on Access Control Models and Technologies, 2021

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation.

Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On the Intrinsic Differential Privacy of Bagging.

Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Detection Of Malicious DNS and Web Servers using Graph-Based Approaches.

Jinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes

Proceedings of the IEEE International Conference on Acoustics, 2021

PointGuard: Provably Robust 3D Point Cloud Classification.

Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

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

EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning.

Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes.

Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary.

Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks.

Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks.

Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Provably Secure Federated Learning against Malicious Clients.

Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Certified Robustness of Nearest Neighbors against Data Poisoning Attacks.

Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

CoRR, 2020

On Certifying Robustness against Backdoor Attacks via Randomized Smoothing.

Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

CoRR, 2020

Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing.

Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.

Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 29th USENIX Security Symposium, 2020

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing.

Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the 8th International Conference on Learning Representations, 2020

Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges.

Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020

2019

Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation.

Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong

IEEE Trans. Netw. Sci. Eng., 2019

Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges.

Jinyuan Jia, Neil Zhenqiang Gong

CoRR, 2019

Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation.

Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge.

Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples.

Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning.

Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the 27th USENIX Security Symposium, 2018

2017

AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields.

Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong

Proceedings of the 26th International Conference on World Wide Web, 2017

Random Walk Based Fake Account Detection in Online Social Networks.

Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017