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ORCIDJinyuan Jia 0001
Person information
- affiliation: Penn State University, State College, PA, USA
- affiliation (former): University of Illinois Urbana-Champaign, IL, USA
- affiliation (former): Duke University, USA
Other persons with the same name
- Jinyuan Jia — disambiguation page
- Jinyuan Jia 0002
![[0000-0002-7772-4766]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7772-4766")
— Tongji University, Shanghai, China
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2020 – today
- 2024
[c50]Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu:
Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) 2024: 5475-5493- [c49]Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran:
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. ACL (1) 2024: 5587-5605 - [c48]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 - [c47]Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran:
Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. AsiaCCS 2024 - [c46]Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia:
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations. ICLR 2024 - [c45]Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang:
Graph Neural Network Explanations are Fragile. ICML 2024 - [c44]Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song:
SHINE: Shielding Backdoors in Deep Reinforcement Learning. ICML 2024 - [c43]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: 144-156 - [c42]Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong:
Formalizing and Benchmarking Prompt Injection Attacks and Defenses. USENIX Security Symposium 2024 - [c41]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 - [i55]Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran:
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. CoRR abs/2401.05562 (2024) - [i54]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 abs/2401.16820 (2024) - [i53]Wei Zou, Runpeng Geng, Binghui Wang, Jinyuan Jia:
PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models. CoRR abs/2402.07867 (2024) - [i52]Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran:
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. CoRR abs/2402.08983 (2024) - [i51]Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia:
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models. CoRR abs/2403.19080 (2024) - [i50]Yanting Wang, Wei Zou, Jinyuan Jia:
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models. CoRR abs/2404.08631 (2024) - [i49]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 abs/2405.16783 (2024) - [i48]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 abs/2405.20975 (2024) - [i47]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 abs/2406.00699 (2024) - [i46]Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang:
Graph Neural Network Explanations are Fragile. CoRR abs/2406.03193 (2024) - [i45]Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong:
Certifiably Robust Image Watermark. CoRR abs/2407.04086 (2024) - [i44]Lingyu Du, Jinyuan Jia, Xucong Zhang, Guohao Lan:
PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services. CoRR abs/2408.00950 (2024) - 2023
- [c40]Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CVPR 2023: 9496-9505 - [c39]Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu:
Graph Contrastive Backdoor Attacks. ICML 2023: 40888-40910 - [c38]Hanting Ye, Guohao Lan, Jinyuan Jia, Qing Wang:
Screen Perturbation: Adversarial Attack and Defense on Under-Screen Camera. MobiCom 2023: 64:1-64:16 - [c37]Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. NDSS 2023 - [c36]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 - [c35]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 - [c34]Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu:
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. NeurIPS 2023 - [c33]Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong:
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. SP 2023: 1366-1383 - [c32]Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong:
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. USENIX Security Symposium 2023: 1703-1720 - [i43]Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. CoRR abs/2301.02905 (2023) - [i42]Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CoRR abs/2303.01959 (2023) - [i41]Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong:
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. CoRR abs/2303.14601 (2023) - [i40]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 abs/2310.01581 (2023) - [i39]Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, Neil Zhenqiang Gong:
Prompt Injection Attacks and Defenses in LLM-Integrated Applications. CoRR abs/2310.12815 (2023) - [i38]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 abs/2310.19248 (2023) - [i37]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR abs/2311.11225 (2023) - [i36]Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran:
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. CoRR abs/2311.16153 (2023) - 2022
- [b1]Jinyuan Jia:
Privacy Protection via Adversarial Examples. Duke University, Durham, NC, USA, 2022 - [j2]Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong:
FLCert: Provably Secure Federated Learning Against Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 17: 3691-3705 (2022) - [c31]Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks. AAAI 2022: 9575-9583 - [c30]Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning. CCS 2022: 2115-2128 - [c29]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 - [c28]Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty:
Deep Neural Network Piration without Accuracy Loss. ICMLA 2022: 1032-1038 - [c27]Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. KDD 2022: 2545-2555 - [c26]Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. NeurIPS 2022 - [c25]Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong:
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. SP 2022: 2043-2059 - [c24]Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. USENIX Security Symposium 2022: 519-536 - [c23]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. USENIX Security Symposium 2022: 3629-3645 - [i35]Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
StolenEncoder: Stealing Pre-trained Encoders. CoRR abs/2201.05889 (2022) - [i34]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. CoRR abs/2205.06401 (2022) - [i33]Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. CoRR abs/2207.09209 (2022) - [i32]Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong:
FLCert: Provably Secure Federated Learning against Poisoning Attacks. CoRR abs/2210.00584 (2022) - [i31]Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. CoRR abs/2210.01111 (2022) - [i30]Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong:
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. CoRR abs/2210.10936 (2022) - [i29]Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning. CoRR abs/2211.08229 (2022) - [i28]Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. CoRR abs/2212.03334 (2022) - 2021
- [c22]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. AAAI 2021: 6885-6893 - [c21]Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. AAAI 2021: 7961-7969 - [c20]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. AAAI 2021: 10093-10101 - [c19]Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. AsiaCCS 2021: 2-13 - [c18]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. AsiaCCS 2021: 14-25 - [c17]Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CCS 2021: 2081-2095 - [c16]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PointGuard: Provably Robust 3D Point Cloud Classification. CVPR 2021: 6186-6195 - [c15]Jinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes:
Detection Of Malicious DNS and Web Servers using Graph-Based Approaches. ICASSP 2021: 2625-2629 - [c14]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. IJCAI 2021: 2730-2736 - [c13]Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. KDD 2021: 1645-1653 - [c12]Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Backdoor Attacks to Graph Neural Networks. SACMAT 2021: 15-26 - [c11]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Data Poisoning Attacks to Local Differential Privacy Protocols. USENIX Security Symposium 2021: 947-964 - [c10]Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Stealing Links from Graph Neural Networks. USENIX Security Symposium 2021: 2669-2686 - [i27]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. CoRR abs/2102.01854 (2021) - [i26]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PointGuard: Provably Robust 3D Point Cloud Classification. CoRR abs/2103.03046 (2021) - [i25]Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong:
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. CoRR abs/2108.00352 (2021) - [i24]Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CoRR abs/2108.11023 (2021) - [i23]Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
10 Security and Privacy Problems in Self-Supervised Learning. CoRR abs/2110.15444 (2021) - [i22]Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. CoRR abs/2111.11534 (2021) - 2020
- [c9]Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong:
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. ICLR 2020 - [c8]Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. USENIX Security Symposium 2020: 1605-1622 - [c7]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. WWW 2020: 2718-2724 - [p1]Jinyuan Jia, Neil Zhenqiang Gong:
Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges. Adaptive Autonomous Secure Cyber Systems 2020: 23-40 - [i21]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. CoRR abs/2002.03421 (2020) - [i20]Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. CoRR abs/2002.11750 (2020) - [i19]Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Stealing Links from Graph Neural Networks. CoRR abs/2005.02131 (2020) - [i18]Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Backdoor Attacks to Graph Neural Networks. CoRR abs/2006.11165 (2020) - [i17]Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. CoRR abs/2008.04495 (2020) - [i16]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. CoRR abs/2008.09845 (2020) - [i15]Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. CoRR abs/2008.10715 (2020) - [i14]Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. CoRR abs/2010.13751 (2020) - [i13]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 abs/2011.07633 (2020) - [i12]Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Nearest Neighbors against Data Poisoning Attacks. CoRR abs/2012.03765 (2020) - [i11]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. CoRR abs/2012.13085 (2020)
2010 – 2019
- 2019
- [j1]Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong:
Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. IEEE Trans. Netw. Sci. Eng. 6(3): 523-537 (2019) - [c6]Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong:
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CCS 2019: 259-274 - [c5]Jinyuan Jia, Neil Zhenqiang Gong:
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. INFOCOM 2019: 2008-2016 - [c4]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. NDSS 2019 - [i10]Jinyuan Jia, Neil Zhenqiang Gong:
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges. CoRR abs/1909.08526 (2019) - [i9]Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong:
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CoRR abs/1909.10594 (2019) - [i8]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. CoRR abs/1910.12903 (2019) - [i7]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Data Poisoning Attacks to Local Differential Privacy Protocols. CoRR abs/1911.02046 (2019) - [i6]Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. CoRR abs/1911.11815 (2019) - [i5]Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong:
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. CoRR abs/1912.09899 (2019) - 2018
- [c3]Jinyuan Jia, Neil Zhenqiang Gong:
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. USENIX Security Symposium 2018: 513-529 - [i4]Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong:
Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation. CoRR abs/1803.04321 (2018) - [i3]Jinyuan Jia, Neil Zhenqiang Gong:
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. CoRR abs/1805.04810 (2018) - [i2]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. CoRR abs/1812.01661 (2018) - [i1]Jinyuan Jia, Neil Zhenqiang Gong:
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. CoRR abs/1812.02055 (2018) - 2017
- [c2]Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Random Walk Based Fake Account Detection in Online Social Networks. DSN 2017: 273-284 - [c1]Jinyuan Jia, Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. WWW 2017: 1561-1569
Coauthor Index
[c43] [c42] [i45] [c40] [c37] [c33] [c32] [i43] [i42] [i41] [i39] [j2] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [c11] [c10] [i27] [i26] [i25] [i24] [i23] [i22] [c9] [c8] [c7] [p1] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [j1] [c6] [c5] [c4] [i10] [i9] [i8] [i7] [i6] [i5] [c3] [i4] [i3] [i2] [i1] [c2] [c1]
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