Articles with public access mandates - Ahmed SalemLearn more
Available somewhere: 11
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
J Jia, A Salem, M Backes, Y Zhang, NZ Gong
ACM SIGSAC Conference on Computer and Communications Security (CCS), 2019
Mandates: US National Science Foundation
Badnl: Backdoor attacks against nlp models with semantic-preserving improvements
X Chen, A Salem, D Chen, M Backes, S Ma, Q Shen, Z Wu, Y Zhang
Proceedings of the 37th Annual Computer Security Applications Conference …, 2021
Mandates: US Office of the Director of National Intelligence, National Natural Science …
Dynamic backdoor attacks against machine learning models
A Salem, R Wen, M Backes, S Ma, Y Zhang
2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 703-718, 2022
Mandates: US Office of the Director of National Intelligence, Helmholtz Association …
Updates-leak: Data set inference and reconstruction attacks in online learning
A Salem, A Bhattacharya, M Backes, M Fritz, Y Zhang
USENIX Security Symposium, 2019
Mandates: Helmholtz Association, European Commission
{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, ...
31st USENIX Security Symposium (USENIX Security 22), 4525-4542, 2022
Mandates: Helmholtz Association
Mlcapsule: Guarded offline deployment of machine learning as a service
L Hanzlik, Y Zhang, K Grosse, A Salem, M Augustin, M Backes, M Fritz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Mandates: Helmholtz Association, Federal Ministry of Education and Research, Germany
SoK: Let the privacy games begin! A unified treatment of data inference privacy in machine learning
A Salem, G Cherubin, D Evans, B Köpf, A Paverd, A Suri, S Tople, ...
2023 IEEE Symposium on Security and Privacy (SP), 327-345, 2023
Mandates: US National Science Foundation
Privacy-preserving similar patient queries for combined biomedical data
A Salem, P Berrang, M Humbert, M Backes
Proceedings on Privacy Enhancing Technologies, 2019
Mandates: European Commission
{UnGANable}: Defending against {GAN-based} face manipulation
Z Li, N Yu, A Salem, M Backes, M Fritz, Y Zhang
32nd USENIX Security Symposium (USENIX Security 23), 7213-7230, 2023
Mandates: Helmholtz Association
{Two-in-One}: A Model Hijacking Attack Against Text Generation Models
WM Si, M Backes, Y Zhang, A Salem
32nd USENIX Security Symposium (USENIX Security 23), 2223-2240, 2023
Mandates: Helmholtz Association
Let the Privacy Games Begin! A Unified Treatment of Data Inference Pivacy in Machine Learning. 2023 IEEE Symposium on Security and Privacy.
A Salem
2023 IEEE Symposium on Security and Privacy. ArXiv., 2023
Mandates: US National Science Foundation
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