Biblio

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Filters: Author is Jinyuan Jia  [Clear All Filters]
2023
Jia J, Liu Y, Hu Y, Gong NZhenqiang.  2023.  PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. 32nd USENIX Security Symposium (USENIX Security 23). :1703--1720.
2022
Liu H, Jia J, Gong NZhenqiang.  2022.  PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. 31st USENIX Security Symposium (USENIX Security 22). :3629--3645.
Wu Y, Cao X, Jia J, Gong NZhenqiang.  2022.  Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. 31st USENIX Security Symposium (USENIX Security 22). :519--536.
2021
Cao X, Jia J, Gong NZhenqiang.  2021.  Data Poisoning Attacks to Local Differential Privacy Protocols. 30th USENIX Security Symposium (USENIX Security 21). :947--964.
He X, Jia J, Backes M, Gong NZhenqiang, Zhang Y.  2021.  Stealing Links from Graph Neural Networks. 30th USENIX Security Symposium (USENIX Security 21). :2669--2686.
2020
Fang M, Cao X, Jia J, Gong N.  2020.  Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. 29th USENIX Security Symposium (USENIX Security 20). :1605--1622.
2018
Jia J, Gong NZhenqiang.  2018.  AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. 27th USENIX Security Symposium (USENIX Security 18). :513--529.