Items where Author is "Zhang, Yang"

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Number of items: 49.

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: 33rd USENIX Security Symposium, Philadelphia, PA, USA.
Conference: USENIX-Security Usenix Security Symposium
(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.
In: CCS 2023, 26-30 Nov 2023, Copenhagen, Denmark.
Conference: CCS ACM Conference on Computer and Communications Security
(Submitted)

Wang, Haiming and Zhang, Zhikun and Wang, Tianhao and He, Shibo and Backes, Michael and Chen, Jiming and Zhang, Yang
(2023) PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model.
In: USENIX Security Symposium 2023.
Conference: USENIX-Security Usenix Security Symposium

Li, Zheng and Yu, Ning and Salem, Ahmed and Backes, Michael and Fritz, Mario and Zhang, Yang
(2023) UnGANable: Defending Against GAN-based Face Manipulation.
In: USENIX Security.
Conference: USENIX-Security Usenix Security Symposium

Yuan, Xiaojian and Chen, Kejiang and Zhang, Jie and Zhang, Weiming and Yu, Nenghai and Zhang, Yang
(2023) Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network.
In: AAAI 2023.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

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.
In: 44th IEEE Symposium on Security and Privacy (S&P '23), 22-25 May 2023, HYATT REGENCY, SAN FRANCISCO, CA.
Conference: SP IEEE Symposium on Security and Privacy

Chen, Yufei and Shen, Chao and Shen, Yun and Wang, Cong and Zhang, Yang
(2022) Amplifying Membership Exposure via Data Poisoning.
In: NeurIPS 2022.
Conference: NeurIPS Conference on Neural Information Processing Systems

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.
In: CCS 2022.
Conference: CCS ACM Conference on Computer and Communications Security

Shen, Yun and Han, Yufei and Zhang, Zhikun and Chen, Min and Yu, Ting and Backes, Michael and Zhang, Yang and Stringhini, Gianluca
(2022) Finding MNEMON: Reviving Memories of Node Embeddings.
In: The 29th ACM Conference on Computer and Communications Security (CCS), November 7-11, 2022, Los Angeles, U.S.A..
Conference: CCS ACM Conference on Computer and Communications Security
(In Press)

Chen, Min and Zhang, Zhikun and Wang, Tianhao and Backes, Michael and Humbert, Mathias and Zhang, Yang
(2022) Graph Unlearning.
In: ACM SIGSAC Conference on Computer and Communications Security, November 7-11, 2022, Los Angeles, U.S.A..
Conference: CCS ACM Conference on Computer and Communications Security
(In Press)

Liu, Yiyong and Zhao, Zhengyu and Backes, Michael and Zhang, Yang
(2022) Membership Inference Attacks by Exploiting Loss Trajectory.
In: CCS 2022.
Conference: CCS ACM Conference on Computer and Communications Security

Huang, Hai and Zhang, Zhikun and Shen, Yun and Backes, Michael and Li, Qi and Zhang, Yang
(2022) On the Privacy Risks of Cell-Based NAS Architectures.
In: CCS 2022.
Conference: CCS ACM Conference on Computer and Communications Security

Si, Wai Man and Backes, Michael and Blackburn, Jeremy and De Cristofaro, Emiliano and Stringhini, Gianluca and Zannettou, Savvas and Zhang, Yang
(2022) Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots.
In: CCS 2022.
Conference: CCS ACM Conference on Computer and Communications Security

Cong, Tianshuo and He, Xinlei and Zhang, Yang
(2022) SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders.
In: CCS 2022.
Conference: CCS ACM Conference on Computer and Communications Security

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.
In: USENIX Security Symposium (USENIX Security), 2022..
Conference: USENIX-Security Usenix Security Symposium

Zhang, Zhikun and Chen, Min and Backes, Michael and Shen, Yun and Zhang, Yang
(2022) Inference Attacks Against Graph Neural Networks.
In: 31st USENIX Security Symposium, August 10-12, 2022, Boston, MA, USA.
Conference: USENIX-Security Usenix Security Symposium

Chen, Yufei and Shen, Chao and Wang, Cong and Zhang, Yang
(2022) Teacher Model Fingerprinting Attacks Against Transfer Learning.
In: USENIX Security Symposium.
Conference: USENIX-Security Usenix Security Symposium

Salem, Ahmed and Wen, Rui and Backes, Michael and Ma, Shiqing and Zhang, Yang
(2022) Dynamic Backdoor Attacks Against Machine Learning Models.
In: EuroS&P 2022.
Conference: EuroS&P IEEE European Symposium on Security and Privacy

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.
In: ICWSM 2022.
Conference: ICWSM International Conference on Web and Social Media

Shen, Yun and He, Xinlei and Han, Yufei and Zhang, Yang
(2022) Model Stealing Attacks Against Inductive Graph Neural Networks.
In: S&P 2022.
Conference: SP IEEE Symposium on Security and Privacy

Salem, Ahmed and Backes, Michael and Zhang, Yang
(2022) Get a Model! Model Hijacking Attack Against Machine Learning Models.
In: NDSS 2022, 24 - 28 April 2022, San Diego, California.
Conference: NDSS Network and Distributed System Security Symposium

Zhou, Junhao and Chen, Yufei and Shen, Chao and Zhang, Yang
(2022) Property Inference Attacks Against GANs.
In: NDSS 2022, 24 - 28 April 2022, San Diego, California.
Conference: NDSS Network and Distributed System Security Symposium

Zhang, Minxing and Ren, Zhaochun and Wang, Zihan and Ren, Pengjie and Chen, Zhumin and Hu, Pengfei and Zhang, Yang
(2021) Membership Inference Attacks Against Recommender Systems.
In: ACM SIGSAC Conference on Computer and Communications Security.
Conference: CCS ACM Conference on Computer and Communications Security

Li, Zheng and Zhang, Yang
(2021) Membership Leakage in Label-Only Exposures.
In: ACM SIGSAC Conference on Computer and Communications Security.
Conference: CCS ACM Conference on Computer and Communications Security

He, Xinlei and Zhang, Yang
(2021) Quantifying and Mitigating Privacy Risks of Contrastive Learning.
In: ACM SIGSAC Conference on Computer and Communications Security.
Conference: CCS ACM Conference on Computer and Communications Security

Chen, Min and Zhang, Zhikun and Wang, Tianhao and Backes, Michael and Humbert, Mathias and Zhang, Yang
(2021) When Machine Unlearning Jeopardizes Privacy.
In: ACM SIGSAC Conference on Computer and Communications Security.
Conference: CCS ACM Conference on Computer and Communications Security

Zhang, Zhikun and Wang, Tianhao and Honorio, Jean and Li, Ninghui and Backes, Michael and He, Shibo and Chen, Jiming and Zhang, Yang
(2021) PrivSyn: Differentially Private Data Synthesis.
In: USENIX Security Symposium.
Conference: USENIX-Security Usenix Security Symposium

He, Xinlei and Jia, Jinyuan and Gong, Neil Zhenqiang and Backes, Michael and Zhang, Yang
(2021) Stealing Links from Graph Neural Networks.
In: USENIX Security Symposium.
Conference: USENIX-Security Usenix Security Symposium

Hanzlik, Lucjan and Zhang, Yang and Grosse, Kathrin and Salem, Ahmed and Augustin, Maximilian and Backes, Michael and Fritz, Mario
(2021) MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.
In: 2021 IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision.
Conference: ECCV European Conference on Computer Vision

Tahmasbi, Fatemeh and Schild, Leonard and Ling, Chen and Blackburn, Jeremy and Stringhini, Gianluca and Zhang, Yang and Zannettou, Savvas
(2021) “Go eat a bat, Chang!”: On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19.
In: The Web Conference.
Conference: WWW The Web Conference (Formerly: International World Wide Web Conference)

Chen, Xiaoyi and Salem, Ahmed and Chen, Dingfan and Backes, Michael and Ma, Shiqing and Shen, Qingni and Wu, Zhonghai and Zhang, Yang
(2021) BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements.
In: ACSAC 2021.
Conference: ACSAC Annual Computer Security Applications Conference

Chen, Dingfan and Yu, Ning and Zhang, Yang and Fritz, Mario
(2020) GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.
In: ACM Conference on Computer and Communications Security (CCS).
Conference: CCS ACM Conference on Computer and Communications Security

Wen, Rui and Yu, Yu and Xie, Xiang and Zhang, Yang
(2020) LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction.
In: ACM SIGSAC Conference on Computer and Communications Security.
Conference: CCS ACM Conference on Computer and Communications Security

Hagestedt, Inken and Humbert, Mathias and Berrang, Pascal and Lehmann, Irina and Eils, Roland and Backes, Michael and Zhang, Yang
(2020) Membership Inference Against DNA Methylation Databases.
In: IEEE European Symposium on Security and Privacy.
Conference: EuroS&P IEEE European Symposium on Security and Privacy

Salem, Ahmed and Bhattacharya, Apratim and Backes, Michael and Fritz, Mario and Zhang, Yang
(2020) Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.
In: USENIX Security Symposium.
Conference: USENIX-Security Usenix Security Symposium

Zhang, Yang and Humbert, Mathias and Surma, Bartlomiej and Manoharan, Praveen and Vreeken, Jilles and Backes, Michael
(2020) Towards Plausible Graph Anonymization.
In: Annual Network and Distributed System Security Symposium.
Conference: NDSS Network and Distributed System Security Symposium

Li, Zheng and Hu, Chengyu and Guo, Shanqing and Zhang, Yang
(2019) How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN.
In: Annual Computer Security Applications Conference.
Conference: ACSAC Annual Computer Security Applications Conference

Jia, Jinyuan and Salem, Ahmed and Backes, Michael and Gong, Neil Zhenqiang and Zhang, Yang
(2019) MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples.
In: ACM SIGSAC Conference on Computer and Communications Security.
Conference: CCS ACM Conference on Computer and Communications Security

Rahman, Tahleen and Surma, Bartlomiej and Backes, Michael and Zhang, Yang
(2019) Fairwalk: Towards Fair Graph Embedding.
In: International Joint Conference on Artificial Intelligence.
Conference: IJCAI International Joint Conference on Artificial Intelligence

Zhang, Yang
(2019) Language in Our Time: An Empirical Analysis of Hashtags.
In: The Web Conference.
Conference: WWW The Web Conference (Formerly: International World Wide Web Conference)

Hagestedt, Inken and Zhang, Yang and Humbert, Mathias and Berrang, Pascal and Haixu, Tang and XiaoFeng, Wang and Backes, Michael
(2019) MBeacon: Privacy-Preserving Beacons for DNA Methylation Data.
In: Annual Network and Distributed System Security Symposium.
Conference: NDSS Network and Distributed System Security Symposium

Salem, Ahmed and Zhang, Yang and Humbert, Mathias and Berrang, Pascal and Fritz, Mario and Backes, Michael
(2019) ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.
In: Annual Network and Distributed System Security Symposium.
Conference: NDSS Network and Distributed System Security Symposium

Zhao, Fanghua and Gao, Linan and Zhang, Yang and Wang, Zeyu and Wang, Bo and Guo, Shanqing
(2018) You Are Where You APP: An Assessment on Location Privacy of Social APPs.
In: IEEE International Symposium on Software Reliability Engineering, 15.10.2018-18.10.2018.
Conference: ISSRE International Symposium on Software Reliability Engineering

Hanzlik, Lucjan and Zhang, Yang and Grosse, Kathrin and Salem, Ahmed and Augustin, Max and Backes, Michael and Fritz, Mario
(2018) MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.
arXiv
.

Berrang, Pascal and Humbert, Mathias and Zhang, Yang and Lehmann, Irina and Eils, Roland and Backes, Michael
(2018) Dissecting Privacy Risks in Biomedical Data.
In: IEEE European Symposium on Security and Privacy.
Conference: EuroS&P IEEE European Symposium on Security and Privacy

Zhang, Yang and Humbert, Mathias and Rahman, Tahleen and Li, Cheng-Te and Pang, Jun and Backes, Michael
(2018) Tagvisor: A Privacy Advisor for Sharing Hashtags.
In: The Web Conference.
Conference: WWW The Web Conference (Formerly: International World Wide Web Conference)

Backes, Michael and Humbert, Mathias and Pang, Jun and Zhang, Yang
(2017) walk2friends: Inferring Social Links from Mobility Profiles.
In: ACM SIGSAC Conference on Computer and Communication Security.
Conference: CCS ACM Conference on Computer and Communications Security

Pang, Jun and Zhang, Yang
(2017) Quantifying Location Sociality.
In: ACM Conference on Hypertext and Social Media.

Pang, Jun and Zhang, Yang
(2017) DeepCity: A Feature Learning Framework for Mining Location Check-ins.
In: International Conference on Web and Social Media.

This list was generated on Wed Dec 11 22:07:35 2024 CET.
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