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
Mathias HumbertUniversity of LausanneVerified email at unil.ch
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Xinlei HeCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Zheng LiCISPA Helmholtz Center for Information Security.Verified email at cispa.de
Pascal BerrangUniversity of Birmingham, UKVerified email at cs.uni-saarland.de
Savvas ZannettouAssistant Professor at Delft University of TechnologyVerified email at tudelft.nl
Jeremy BlackburnAssistant Professor, Computer Science, Binghamton UniversityVerified email at binghamton.edu
Gianluca StringhiniAssistant Professor at Boston UniversityVerified email at bu.edu
Yun ShenNetAppVerified email at netapp.com
Rui WenCISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
Tianhao WangUniversity of VirginiaVerified email at virginia.edu
Neil Zhenqiang GongAssistant Professor, Duke UniversityVerified email at duke.edu
Shiqing MaRutgers UniversityVerified email at rutgers.edu
Jinyuan JiaPostdoc, UIUCVerified email at duke.edu
Wu YixinCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Yugeng LiuPh.D. Candidate, CISPA 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
Ninghui LiProfessor of Computer Science, Purdue UniversityVerified email at cs.purdue.edu

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	573	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	270*	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	221	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	189*	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	146	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	146	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	144	2020
Membership Leakage in Label-Only Exposures Z Li, Y Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021	139*	2021
Fairwalk: Towards Fair Graph Embedding T Rahman, B Surma, M Backes, Y Zhang International Joint Conference on Artificial Intelligence (IJCAI), 3289-3295, 2019	111	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	99	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	99	2017
A New Access Control Scheme for Facebook-style Social Networks J Pang, Y Zhang Computers & Security 54, 44-59, 2015	87	2015
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	84	2018
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	77	2021
Stealing Links from Graph Neural Networks X He, J Jia, M Backes, NZ Gong, Y Zhang USENIX Security Symposium, 2021	70	2021
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	47	2021
MBeacon: Privacy-Preserving Beacons for DNA Methylation Data. I Hagestedt, Y Zhang, M Humbert, P Berrang, H Tang, XF Wang, ... Annual Network and Distributed System Security Symposium (NDSS), 2019	46	2019
Distance and Friendship: A Distance-based Model for Link Prediction in Social Networks Y Zhang, J Pang Asia-Pacific Web Conference (Apweb), 55-66, 2015	45	2015
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	44	2022
Inferring Friendship from Check-in Data of Location-based Social Networks R Cheng, J Pang, Y Zhang IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2015	44	2015

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