Biblio

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2022
Zhang Z, Chen M, Backes M, Shen Y, Zhang Y.  2022.  Inference Attacks Against Graph Neural Networks. 31st USENIX Security Symposium (USENIX Security 22). :4543--4560.
Liu Y, Wen R, He X, Salem A, Zhang Z, Backes M, De Cristofaro E, Fritz M, Zhang Y.  2022.  ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. 31st USENIX Security Symposium (USENIX Security 22). :4525--4542.
Chen Y, Shen C, Wang C, Zhang Y.  2022.  Teacher Model Fingerprinting Attacks Against Transfer Learning. 31st USENIX Security Symposium (USENIX Security 22). :3593--3610.
2021
Zhang Z, Wang T, Li N, Honorio J, Backes M, He S, Chen J, Zhang Y.  2021.  PrivSyn: Differentially Private Data Synthesis. 30th USENIX Security Symposium (USENIX Security 21). :929--946.
Feng Y, Liu Z, Zhao Y, Jin T, Wu Y, Zhang Y, Cheng J, Li C, Guan T.  2021.  Scaling Large Production Clusters with Partitioned Synchronization. 2021 USENIX Annual Technical Conference (USENIX ATC 21). :81--97.
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
Xiao W, Ren S, Li Y, Zhang Y, Hou P, Li Z, Feng Y, Lin W, Jia Y.  2020.  AntMan: Dynamic Scaling on GPU Clusters for Deep Learning. 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). :533--548.
Salem A, Bhattacharya A, Backes M, Fritz M, Zhang Y.  2020.  Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. 29th USENIX Security Symposium (USENIX Security 20). :1291-1308.
2014
Mu S, Cui Y, Zhang Y, Lloyd W, Li J.  2014.  Extracting More Concurrency from Distributed Transactions. 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 14). :479--494.
2008
Boyd-Wickizer S, Chen H, Chen R, Mao Y, Kaashoek F, Morris R, Pesterev A, Stein L, Wu M, Dai Y et al..  2008.  Corey: An Operating System for Many Cores. 8th USENIX Symposium on Operating Systems Design and Implementation (OSDI 08).