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 | 856 | 2019 |
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 | 363 | 2019 |
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 | 289 | 2021 |
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 | 257 | 2022 |
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 | 240 | 2019 |
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 | 108 | 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, ... 31st USENIX Security Symposium (USENIX Security 22), 4525-4542, 2022 | 96 | 2022 |
Analyzing leakage of personally identifiable information in language models N Lukas, A Salem, R Sim, S Tople, L Wutschitz, S Zanella-Béguelin 2023 IEEE Symposium on Security and Privacy (SP), 346-363, 2023 | 82 | 2023 |
Baaan: Backdoor attacks against autoencoder and gan-based machine learning models A Salem, Y Sautter, M Backes, M Humbert, Y Zhang arXiv preprint arXiv:2010.03007, 2020 | 35 | 2020 |
Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks A Salem, M Backes, Y Zhang arXiv preprint arXiv:2010.03282, 2020 | 33 | 2020 |
Bayesian estimation of differential privacy S Zanella-Béguelin, L Wutschitz, S Tople, A Salem, V Rühle, A Paverd, ... International Conference on Machine Learning, 40624-40636, 2023 | 27 | 2023 |
Get a model! model hijacking attack against machine learning models A Salem, M Backes, Y Zhang arXiv preprint arXiv:2111.04394, 2021 | 23 | 2021 |
Privacy-preserving similar patient queries for combined biomedical data A Salem, P Berrang, M Humbert, M Backes Proceedings on Privacy Enhancing Technologies, 2019 | 20 | 2019 |
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 | 18 | 2023 |
{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 | 13 | 2023 |
{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 | 8 | 2023 |
Maatphor: Automated variant analysis for prompt injection attacks A Salem, A Paverd, B Köpf arXiv preprint arXiv:2312.11513, 2023 | 3 | 2023 |
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective L Wutschitz, B Köpf, A Paverd, S Rajmohan, A Salem, S Tople, ... arXiv preprint arXiv:2311.15792, 2023 | 3 | 2023 |
Performance analysis of different propulsion systems for LNG carriers WM Bahgat, A Salem Int J Multidiscip Curr Res 5, 1318-1325, 2013 | 3 | 2013 |
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning R Wen, T Wang, M Backes, Y Zhang, A Salem arXiv preprint arXiv:2310.11397, 2023 | 2 | 2023 |