Yang Zhang

According to our database, Yang Zhang authored at least 121 papers between 2013 and 2024.

Collaborative distances:

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

2024

Efficient Data-Free Model Stealing with Label Diversity.

Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang

CoRR, 2024

Comprehensive Assessment of Jailbreak Attacks Against LLMs.

Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang

CoRR, 2024

2023

FAKEPCD: Fake Point Cloud Detection via Source Attribution.

Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang

CoRR, 2023

Comprehensive Assessment of Toxicity in ChatGPT.

Boyang Zhang, Xinyue Shen, Wai Man Si, Zeyang Sha, Zeyuan Chen, Ahmed Salem, Yun Shen, Michael Backes, Yang Zhang

CoRR, 2023

Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models.

Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang

CoRR, 2023

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts.

Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models.

Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang

CoRR, 2023

Quantifying Privacy Risks of Prompts in Visual Prompt Learning.

Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang

CoRR, 2023

Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning.

Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem

CoRR, 2023

Composite Backdoor Attacks Against Large Language Models.

Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

Prompt Backdoors in Visual Prompt Learning.

Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models.

Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

White-box Membership Inference Attacks against Diffusion Models.

Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang

CoRR, 2023

You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content.

Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang

CoRR, 2023

You Are How You Walk: Quantifying Privacy Risks in Step Count Data.

Bartlomiej Surma, Tahleen A. Rahman, Monique M. B. Breteler, Michael Backes, Yang Zhang

CoRR, 2023

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.

Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing.

Wai Man Si, Michael Backes, Yang Zhang

CoRR, 2023

Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis.

Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang

CoRR, 2023

Vision-language models boost food composition compilation.

Peihua Ma, Yixin Wu, Ning Yu, Yang Zhang, Michael Backes, Qin Wang, Cheng-I Wei

CoRR, 2023

Watermarking Diffusion Model.

Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2023

In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT.

Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang

CoRR, 2023

MGTBench: Benchmarking Machine-Generated Text Detection.

Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang

CoRR, 2023

From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need.

Ziqing Yang, Zeyang Sha, Michael Backes, Yang Zhang

CoRR, 2023

Prompt Stealing Attacks Against Text-to-Image Generation Models.

Xinyue Shen, Yiting Qu, Michael Backes, Yang Zhang

CoRR, 2023

A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots.

Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models.

Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 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

FACE-AUDITOR: Data Auditing in Facial Recognition Systems.

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning.

Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Backdoor Attacks Against Dataset Distillation.

Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Generated Graph Detection.

Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

Data Poisoning Attacks Against Multimodal Encoders.

Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?

Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders.

Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.

Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models.

Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Differentially Private Resource Allocation.

Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li

Proceedings of the Annual Computer Security Applications Conference, 2023

NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models.

Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network.

Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings.

Cheng-Te Li, Cheng Hsu, Yang Zhang

ACM Trans. Intell. Syst. Technol., 2022

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks.

Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang

CoRR, 2022

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models.

Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang

CoRR, 2022

Backdoor Attacks in the Supply Chain of Masked Image Modeling.

Xinyue Shen, Xinlei He, Zheng Li, Yun Shen, Michael Backes, Yang Zhang

CoRR, 2022

Membership Inference Attacks Against Text-to-image Generation Models.

Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang

CoRR, 2022

PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model.

Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang

CoRR, 2022

Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models.

Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang

CoRR, 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

Inference Attacks Against Graph Neural Networks.

Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Teacher Model Fingerprinting Attacks Against Transfer Learning.

Yufei Chen, Chao Shen, Cong Wang, Yang Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Model Stealing Attacks Against Inductive Graph Neural Networks.

Yun Shen, Xinlei He, Yufei Han, Yang Zhang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Amplifying Membership Exposure via Data Poisoning.

Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Property Inference Attacks Against GANs.

Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang

Proceedings of the 29th Annual Network and Distributed System 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

On Xing Tian and the Perseverance of Anti-China Sentiment Online.

Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 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

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning.

Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Why So Toxic?: Measuring and Triggering Toxic Behavior in Open-Domain Chatbots.

Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Finding MNEMON: Reviving Memories of Node Embeddings.

Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Membership Inference Attacks by Exploiting Loss Trajectory.

Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Auditing Membership Leakages of Multi-Exit Networks.

Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

On the Privacy Risks of Cell-Based NAS Architectures.

Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders.

Tianshuo Cong, Xinlei He, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Graph Unlearning.

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network.

Xinlei He, Qingyuan Gong, Yang Chen, Yang Zhang, Xin Wang, Xiaoming Fu

IEEE Trans. Dependable Secur. Comput., 2021

On exploring feature representation learning of items to forecast their rise and fall in social media.

Cheng-Te Li, Hsin-Yu Chen, Yang Zhang

J. Intell. Inf. Syst., 2021

Node-Level Membership Inference Attacks Against Graph Neural Networks.

Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2021

"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19.

Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou

Proceedings of the WWW '21: The Web Conference 2021, 2021

Stealing Links from Graph Neural Networks.

Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang

Proceedings of the 30th USENIX Security Symposium, 2021

PrivSyn: Differentially Private Data Synthesis.

Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang

Proceedings of the 30th USENIX Security Symposium, 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

Membership Inference Attacks Against Recommender Systems.

Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Membership Leakage in Label-Only Exposures.

Zheng Li, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Quantifying and Mitigating Privacy Risks of Contrastive Learning.

Xinlei He, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

When Machine Unlearning Jeopardizes Privacy.

Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 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

Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning.

Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang

CoRR, 2020

Label-Leaks: Membership Inference Attack with Label.

Zheng Li, Yang Zhang

CoRR, 2020

BadNL: Backdoor Attacks Against NLP Models.

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

CoRR, 2020

"Go eat a bat, Chang!": An Early Look on the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19.

Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou

CoRR, 2020

Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks.

Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang

CoRR, 2020

NeuLP: An End-to-End Deep-Learning Model for Link Prediction.

Zhiqiang Zhong, Yang Zhang, Jun Pang

Proceedings of the Web Information Systems Engineering - WISE 2020, 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

Towards Plausible Graph Anonymization.

Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Membership Inference Against DNA Methylation Databases.

Inken Hagestedt, Mathias Humbert, Pascal Berrang, Irina Lehmann, Roland Eils, Michael Backes, Yang Zhang

Proceedings of the IEEE European Symposium on Security and Privacy, 2020

LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction.

Rui Wen, Yu Yu, Xiang Xie, Yang Zhang

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.

Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

An active learning-based approach for location-aware acquaintance inference.

Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang

Knowl. Inf. Syst., 2019

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs.

Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz

CoRR, 2019

Language in Our Time: An Empirical Analysis of Hashtags.

Yang Zhang

Proceedings of the World Wide Web Conference, 2019

A Graph-Based Approach to Explore Relationship Between Hashtags and Images.

Zhiqiang Zhong, Yang Zhang, Jun Pang

Proceedings of the Web Information Systems Engineering - WISE 2019, 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

MBeacon: Privacy-Preserving Beacons for DNA Methylation Data.

Inken Hagestedt, Yang Zhang, Mathias Humbert, Pascal Berrang, Haixu Tang, XiaoFeng Wang, Michael Backes

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

Fairwalk: Towards Fair Graph Embedding.

Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

How to prove your model belongs to you: a blind-watermark based framework to protect intellectual property of DNN.

Zheng Li, Chengyu Hu, Yang Zhang, Shanqing Guo

Proceedings of the 35th Annual Computer Security Applications Conference, 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

Tagvisor: A Privacy Advisor for Sharing Hashtags.

Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

You Are Where You App: An Assessment on Location Privacy of Social Applications.

Fanghua Zhao, Linan Gao, Yang Zhang, Zeyu Wang, Bo Wang, Shanqing Guo

Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

Dissecting Privacy Risks in Biomedical Data.

Pascal Berrang, Mathias Humbert, Yang Zhang, Irina Lehmann, Roland Eils, Michael Backes

Proceedings of the 2018 IEEE European Symposium on Security and Privacy, 2018

2017

CTRL+Z: Recovering Anonymized Social Graphs.

Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes

CoRR, 2017

Does #like4like indeed provoke more likes?

Yang Zhang, Minyue Ni, Weili Han, Jun Pang

Proceedings of the International Conference on Web Intelligence, 2017

DeepCity: A Feature Learning Framework for Mining Location Check-Ins.

Jun Pang, Yang Zhang

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Quantifying Location Sociality.

Jun Pang, Yang Zhang

Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

Semantic Annotation for Places in LBSN through Graph Embedding.

Yan Wang, Zongxu Qin, Jun Pang, Yang Zhang, Jin Xin

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

walk2friends: Inferring Social Links from Mobility Profiles.

Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

On Impact of Weather on Human Mobility in Cities.

Jun Pang, Polina Zablotskaia, Yang Zhang

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

An Empirical Study on User Access Control in Online Social Networks.

Minyue Ni, Yang Zhang, Weili Han, Jun Pang

Proceedings of the 21st ACM on Symposium on Access Control Models and Technologies, 2016

Modeling City Locations as Complex Networks: An initial study.

Lu Zhou, Yang Zhang, Jun Pang, Cheng-Te Li

Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

2015

A new access control scheme for Facebook-style social networks.

Jun Pang, Yang Zhang

Comput. Secur., 2015

Exploring Communities for Effective Location Prediction.

Jun Pang, Yang Zhang

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

A Logical Approach to Restricting Access in Online Social Networks.

Marcos Cramer, Jun Pang, Yang Zhang

Proceedings of the 20th ACM Symposium on Access Control Models and Technologies, 2015

Community-Driven Social Influence Analysis and Applications.

Yang Zhang, Jun Pang

Proceedings of the Engineering the Web in the Big Data Era - 15th International Conference, 2015

Location Prediction: Communities Speak Louder than Friends.

Jun Pang, Yang Zhang

Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

Cryptographic Protocols for Enforcing Relationship-Based Access Control Policies.

Jun Pang, Yang Zhang

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Inferring Friendship from Check-in Data of Location-Based Social Networks.

Ran Cheng, Jun Pang, Yang Zhang

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networks.

Yang Zhang, Jun Pang

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Event Prediction with Community Leaders.

Jun Pang, Yang Zhang

Proceedings of the 10th International Conference on Availability, Reliability and Security, 2015

2013

Twisted edwards-form elliptic curve cryptography for 8-bit AVR-based sensor nodes.

Dalin Chu, Johann Großschädl, Zhe Liu, Volker Müller, Yang Zhang

Proceedings of the first ACM workshop on Asia public-key cryptography, 2013