Number of items: 10.
Conference or Workshop Item (A Paper)
Zhang, Boyang and Zheng, Li and Yang, Ziqing and He, Xinlei and Backes, Michael and Fritz, Mario and Zhang, Yang
(2024)
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models.
(In Press)
Qu, Yiting and Shen, Xinyue and He, Xinlei and Backes, Michael and Zannettou, Savvas and Zhang, Yang
(2023)
Unsafe Diffusion: On the Generation of Unsafe Images and
Hateful Memes From Text-To-Image Models.
(Submitted)
Qu, Yiting and He, Xinlei and Pierson, Shannon and Backes, Michael and Zhang, Yang and Zannettou, Savvas
(2023)
On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning.
Li, Zheng and Liu, Yiyong and He, Xinlei and Yu, Ning and Backes, Michael and Zhang, Yang
(2022)
Auditing Membership Leakages of Multi-Exit Networks.
Cong, Tianshuo and He, Xinlei and Zhang, Yang
(2022)
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders.
Liu, Yugeng and Wen, Rui and He, Xinlei and Salem, Ahmed and Zhang, Zhikun and Backes, Michael and De Cristofaro, Emiliano and Fritz, Mario and Zhang, Yang
(2022)
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.
Shen, Xinyue and He, Xinlei and Backes, Michael and Blackburn, Jeremy and Zannettou, Savvas and Zhang, Yang
(2022)
On Xing Tian and the Perseverance of Anti-China Sentiment Online.
Shen, Yun and He, Xinlei and Han, Yufei and Zhang, Yang
(2022)
Model Stealing Attacks Against Inductive Graph Neural Networks.
He, Xinlei and Zhang, Yang
(2021)
Quantifying and Mitigating Privacy Risks of Contrastive Learning.
He, Xinlei and Jia, Jinyuan and Gong, Neil Zhenqiang and Backes, Michael and Zhang, Yang
(2021)
Stealing Links from Graph Neural Networks.
This list was generated on Thu Nov 21 03:46:56 2024 CET.