Ahmed Salem

According to our database, Ahmed Salem authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Two-in-One: A Model Hijacking Attack Against Text Generation Models.

Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem

Proceedings of the 32nd USENIX Security Symposium, 2023

UnGANable: Defending Against GAN-based Face Manipulation.

Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

2022

Adversarial inference and manipulation of machine learning models.

Ahmed Salem

PhD thesis, 2022

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.

Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Get a Model! Model Hijacking Attack Against Machine Learning Models.

Ahmed Salem, Michael Backes, Yang Zhang

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Dynamic Backdoor Attacks Against Machine Learning Models.

Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.

Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements.

Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks.

Ahmed Salem, Michael Backes, Yang Zhang

CoRR, 2020

BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models.

Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang

CoRR, 2020

BadNL: Backdoor Attacks Against NLP Models.

Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, Yang Zhang

CoRR, 2020

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.

Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 29th USENIX Security Symposium, 2020

2019

Privacy-Preserving Similar Patient Queries for Combined Biomedical Data.

Ahmed Salem, Pascal Berrang, Mathias Humbert, Michael Backes

Proc. Priv. Enhancing Technol., 2019

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples.

Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes

CoRR, 2018