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Biblio
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Filters: Author is Neil Zhenqiang Gong [Clear All Filters]
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2024. Formalizing and Benchmarking Prompt Injection Attacks and Defenses. 33rd USENIX Security Symposium (USENIX Security 24). :1831--1847.
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2024. ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. 33rd USENIX Security Symposium (USENIX Security 24). :5305--5322.
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2024. Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models. 33rd USENIX Security Symposium (USENIX Security 24). :2919--2936.
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2023. Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation. 32nd USENIX Security Symposium (USENIX Security 23). :1739--1756.
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2023. PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. 32nd USENIX Security Symposium (USENIX Security 23). :1703--1720.
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2022. PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. 31st USENIX Security Symposium (USENIX Security 22). :3629--3645.
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2022. Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. 31st USENIX Security Symposium (USENIX Security 22). :519--536.
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2021. Data Poisoning Attacks to Local Differential Privacy Protocols. 30th USENIX Security Symposium (USENIX Security 21). :947--964.
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2021. Stealing Links from Graph Neural Networks. 30th USENIX Security Symposium (USENIX Security 21). :2669--2686.
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2018. AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. 27th USENIX Security Symposium (USENIX Security 18). :513--529.
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2016. You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors. 25th USENIX Security Symposium (USENIX Security 16). :979--995.