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Yang Zhang
Yang Zhang
Faculty at CISPA Helmholtz Center for Information Security
Verified email at cispa.de - Homepage
Title
Cited by
Cited by
Year
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
8252019
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
3462019
"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
326*2021
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
310*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
2712021
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
2422020
Membership Leakage in Label-Only Exposures
Z Li, Y Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021
237*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
2222020
Fairwalk: Towards Fair Graph Embedding
T Rahman, B Surma, M Backes, Y Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 3289-3295, 2019
1682019
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
1562019
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
1382021
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
1272017
Stealing Links from Graph Neural Networks
X He, J Jia, M Backes, NZ Gong, Y Zhang
USENIX Security Symposium, 2021
1262021
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
1082018
A New Access Control Scheme for Facebook-style Social Networks
J Pang, Y Zhang
Computers & Security 54, 44-59, 2015
912015
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
862022
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
X Shen, Z Chen, M Backes, Y Shen, Y Zhang
arXiv preprint arXiv:2308.03825, 2023
812023
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
782021
Inference Attacks Against Graph Neural Networks
Z Zhang, M Chen, M Backes, Y Shen, Y Zhang
USENIX Security Symposium, 2022
762022
Graph Unlearning
M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022
712022
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