Ahmed Salem

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Learning Models

Biomedical Data

Machine Learning Models

Top Venues

USENIX Security Symposium

Publications

Boyang Zhang, Yicong Tan, Yun Shen, Ahmed Salem, Michael Backes, Savvas Zannettou, Yang Zhang
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification. CoRR (2024)
Ziqing Yang, Michael Backes, Yang Zhang, Ahmed Salem
SOS! Soft Prompt Attack Against Open-Source Large Language Models. CoRR (2024)
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR (2024)
Ge Han, Ahmed Salem, Zheng Li, Shanqing Guo, Michael Backes, Yang Zhang
Detection and Attribution of Models Trained on Generated Data. ICASSP (2024)
Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium (2023)
Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem
Two-in-One: A Model Hijacking Attack Against Text Generation Models. USENIX Security Symposium (2023)
Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
Dynamic Backdoor Attacks Against Machine Learning Models. EuroS&P (2022)
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium (2022)
Ahmed Salem, Michael Backes, Yang Zhang
Get a Model! Model Hijacking Attack Against Machine Learning Models. NDSS (2022)
Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
UnGANable: Defending Against GAN-based Face Manipulation. CoRR (2022)
Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops (2021)
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR (2021)
Ahmed Salem, Michael Backes, Yang Zhang
Get a Model! Model Hijacking Attack Against Machine Learning Models. CoRR (2021)
Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. ACSAC (2021)
Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models. CoRR (2020)
Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang
Dynamic Backdoor Attacks Against Machine Learning Models. CoRR (2020)
Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. USENIX Security Symposium (2020)
Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, Yang Zhang
BadNL: Backdoor Attacks Against NLP Models. CoRR (2020)
Ahmed Salem, Michael Backes, Yang Zhang
Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks. CoRR (2020)
Ahmed Salem, Pascal Berrang, Mathias Humbert, Michael Backes
Privacy-Preserving Similar Patient Queries for Combined Biomedical Data. Proc. Priv. Enhancing Technol. 2019 (1) (2019)
Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS (2019)
Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CoRR (2019)
Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CCS (2019)
Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. CoRR (2019)
Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. CoRR (2018)
Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CoRR (2018)