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Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots


Sep 09, 2022
Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang

* Published in ACM CCS 2022. Please cite the CCS version 

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On the Privacy Risks of Cell-Based NAS Architectures


Sep 04, 2022
Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang

* Accepted by CCS 2022 

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Membership Inference Attacks by Exploiting Loss Trajectory


Aug 31, 2022
Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang

* Accepted by CCS 2022 

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Auditing Membership Leakages of Multi-Exit Networks


Aug 23, 2022
Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang

* Accepted by CCS 2022 

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Finding MNEMON: Reviving Memories of Node Embeddings


Apr 29, 2022
Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini

* To Appear in the 29th ACM Conference on Computer and Communications Security (CCS), November 7-11, 2022 

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Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders


Jan 19, 2022
Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang


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Get a Model! Model Hijacking Attack Against Machine Learning Models


Nov 08, 2021
Ahmed Salem, Michael Backes, Yang Zhang

* To Appear in NDSS 2022 

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Inference Attacks Against Graph Neural Networks


Oct 06, 2021
Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang

* 19 pages, 18 figures. To Appear in the 31st USENIX Security Symposium 

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Mental Models of Adversarial Machine Learning


May 08, 2021
Lukas Bieringer, Kathrin Grosse, Michael Backes, Katharina Krombholz

* 19 pages, 8 figures, under submission 

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