Yang Zhang

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Michael BackesChairman and Founding Director of the CISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
Jun PangUniversity of LuxembourgVerified email at uni.lu
Xinlei HeCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Mathias HumbertUniversity of LausanneVerified email at unil.ch
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Ahmed SalemMicrosoftVerified email at microsoft.com
Zheng LiCISPA Helmholtz Center for Information Security.Verified email at cispa.de
Yun ShenNetAppVerified email at netapp.com
Savvas ZannettouAssistant Professor at Delft University of TechnologyVerified email at tudelft.nl
Pascal BerrangUniversity of Birmingham, UKVerified email at cs.uni-saarland.de
Tianhao WangUniversity of VirginiaVerified email at virginia.edu
Jeremy BlackburnAssociate Professor, Computer Science, Binghamton UniversityVerified email at binghamton.edu
Gianluca StringhiniAssociate Professor at Boston UniversityVerified email at bu.edu
Rui WenCISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
Neil Zhenqiang GongAssistant Professor, Duke UniversityVerified email at duke.edu
Xinyue ShenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Yugeng LiuPh.D. Candidate, CISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Zeyang ShaCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Yixin WuCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Yufei ChenPh.D. Candidate, Xi'an Jiaotong University & City University of Hong KongVerified email at my.cityu.edu.hk

Yang Zhang

Faculty at CISPA Helmholtz Center for Information Security

Verified email at cispa.de - Homepage

Trustworthy Machine Learning Privacy Security Memes


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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A Salem, Y Zhang, M Humbert, P Berrang, M Fritz, M Backes Annual Network and Distributed System Security Symposium (NDSS), 2019	704	2019
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19 F Tahmasbi, L Schild, C Ling, J Blackburn, G Stringhini, Y Zhang, ... The Web Conference (WWW), 2021	309*	2021
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples J Jinyuan, A Salem, M Backes, Y Zhang, NZ Gong ACM SIGSAC Conference on Computer and Communications Security (CCS), 259-274, 2019	278	2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs D Chen, N Yu, Y Zhang, M Fritz ACM SIGSAC Conference on Computer and Communications Security (CCS), 343-362, 2020	246*	2020
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements X Chen, A Salem, M Backes, S Ma, Y Zhang Annual Computer Security Applications Conference (ACSAC), 2021	201	2021
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning A Salem, A Bhattacharya, M Backes, M Fritz, Y Zhang USENIX Security Symposium, 1291-1308, 2020	187	2020
Dynamic Backdoor Attacks Against Machine Learning Models A Salem, R Wen, M Backes, S Ma, Y Zhang IEEE European Symposium on Security and Privacy (EuroS&P), 2020	186	2020
Membership Leakage in Label-Only Exposures Z Li, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021	180*	2021
Fairwalk: Towards Fair Graph Embedding T Rahman, B Surma, M Backes, Y Zhang International Joint Conference on Artificial Intelligence (IJCAI), 3289-3295, 2019	144	2019
How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN Z Li, C Hu, Y Zhang, S Guo Annual Computer Security Applications Conference (ACSAC), 126-137, 2019	132	2019
walk2friends: Inferring Social Links from Mobility Profiles M Backes, M Humbert, J Pang, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 1943-1957, 2017	114	2017
When Machine Unlearning Jeopardizes Privacy M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021	109	2021
Stealing Links from Graph Neural Networks X He, J Jia, M Backes, NZ Gong, Y Zhang USENIX Security Symposium, 2021	98	2021
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service L Hanzlik, Y Zhang, K Grosse, A Salem, M Augustin, M Backes, M Fritz arXiv preprint arXiv:1808.00590, 2018	95	2018
A New Access Control Scheme for Facebook-style Social Networks J Pang, Y Zhang Computers & Security 54, 44-59, 2015	90	2015
Privsyn: Differentially Private Data Synthesis Z Zhang, T Wang, N Li, J Honorio, M Backes, S He, J Chen, Y Zhang USENIX Security Symposium, 2021	62	2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Y Liu, R Wen, X He, A Salem, Z Zhang, M Backes, E De Cristofaro, M Fritz, ... USENIX Security Symposium, 2022	60	2022
Node-level membership inference attacks against graph neural networks X He, R Wen, Y Wu, M Backes, Y Shen, Y Zhang arXiv preprint arXiv:2102.05429, 2021	53	2021
Inference Attacks Against Graph Neural Networks Z Zhang, M Chen, M Backes, Y Shen, Y Zhang USENIX Security Symposium, 2022	52	2022
Membership Inference Attacks Against Recommender Systems M Zhang, Z Ren, Z Wang, P Ren, Z Chen, P Hu, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021	49	2021

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