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Bo Hui 0002

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affiliation: Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA

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2020 – today

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2023
[c4]
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  - conf/dsn/YangYHGFBC23
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  - https://dblp.org/rec/conf/dsn/YangYHGFBC23
Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao:
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN 2023: 288-301
[c3]
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Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao:
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation. USENIX Security Symposium 2023: 1595-1612
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  - journals/corr/abs-2305-12082
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Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao:
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters. CoRR abs/2305.12082 (2023)
2022
[c2]
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  - conf/eccv/YuanHYBGC22
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Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) 2022: 179-195
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  - journals/corr/abs-2210-15025
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Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR abs/2210.15025 (2022)
2021
[c1]
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Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS 2021
[i1]
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  - journals/corr/abs-2101-01341
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Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. CoRR abs/2101.01341 (2021)

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