Stebėti
Yang Zhang
Yang Zhang
Faculty at CISPA Helmholtz Center for Information Security
Patvirtintas el. paštas cispa.de - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
7072019
"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
310*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
2792019
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
247*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
2012021
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
1872020
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
1862020
Membership Leakage in Label-Only Exposures
Z Li, Y Zhang
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2021
181*2021
Fairwalk: Towards Fair Graph Embedding
T Rahman, B Surma, M Backes, Y Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 3289-3295, 2019
1442019
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
1332019
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
1152017
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
1092021
Stealing Links from Graph Neural Networks
X He, J Jia, M Backes, NZ Gong, Y Zhang
USENIX Security Symposium, 2021
992021
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
952018
A New Access Control Scheme for Facebook-style Social Networks
J Pang, Y Zhang
Computers & Security 54, 44-59, 2015
902015
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
622021
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
602022
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
532021
Inference Attacks Against Graph Neural Networks
Z Zhang, M Chen, M Backes, Y Shen, Y Zhang
USENIX Security Symposium, 2022
522022
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
492021
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