You can also search my publication on DBLP or Google Scholar, however, they may not be up to date. Note that the author list of most of my papers before 2018 follows alphabetical order.

Preprint

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

Ahmed Salem, Michael Backes, Yang Zhang arxiv

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

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

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

Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang arxiv

Label-Leaks: Membership Inference Attack with Label

Zheng Li, Yang Zhang arxiv

BadNL: Backdoor Attacks Against NLP Models

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

When Machine Unlearning Jeopardizes Privacy

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

“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 arxiv
Press Coverage: The Washington Post

Dynamic Backdoor Attacks Against Machine Learning Models

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

2021

Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
In USENIX Security Symposium (USENIX Security 2021) pdf arxiv code

2020

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

Rui Wen, Yu Yu, Xiang Xie, Yang Zhang
In ACM SIGSAC Conference on Computer and Communications Security (CCS 2020) pdf

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

Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
In ACM SIGSAC Conference on Computer and Communications Security (CCS 2020) pdf arxiv code

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

Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang
In USENIX Security Symposium (USENIX Security 2020) pdf arxiv code

Membership Inference Against DNA Methylation Databases

Inken Hagestedt, Mathias Humbert, Pascal Berrang, Irina Lehmann, Roland Eils, Michael Backes, Yang Zhang
In IEEE European Symposium on Security and Privacy (EuroS&P 2020) pdf

Towards Plausible Graph Anonymization

Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
In Annual Network and Distributed System Security Symposium (NDSS 2020) pdf arxiv

2019

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

Jinyuan jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
In ACM SIGSAC Conference on Computer and Communications Security (CCS 2019) pdf arxiv code

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
In Annual Computer Security Applications Conference (ACSAC 2019) pdf

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

Zhiqiang Zhong, Yang Zhang, Jun Pang
In International Conference Web Information Systems Engineering (WISE 2019) pdf

Fairwalk: Towards Fair Graph Embedding

Tahleen Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang
In International Joint Conference on Artificial Intelligence (IJCAI 2019) pdf code

Language in Our Time: An Empirical Analysis of Hashtags

Yang Zhang
In The Web Conference 2019 (WWW 2019) (Oral) pdf arxiv

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
In Annual Network and Distributed System Security Symposium (NDSS 2019) pdf arxiv code

MBeacon: Privacy-Preserving Beacons for DNA Methylation Data

Inken Hagestedt, Yang Zhang, Mathias Humbert, Pascal Berrang, Haixu Tang, XiaoFeng Wang, Michael Backes
In Annual Network and Distributed System Security Symposium (NDSS 2019) pdf
Distinguished Paper Award

2018

You Are Where You APP: An Assessment on Location Privacy of Social APPs

Fanghua Zhao, Linan Gao, Yang Zhang, Zeyu Wang, Bo Wang, Shanqing Guo
In IEEE International Symposium on Software Reliability Engineering (ISSRE 2018) pdf

Tagvisor: A Privacy Advisor for Sharing Hashtags

Yang Zhang, Mathias Humbert, Tahleen Rahman, Cheng-Te Li, Jun Pang, Michael Backes
In The Web Conference 2018 (WWW 2018) pdf arxiv slides dataset

Dissecting Privacy Risks in Biomedical Data

Pascal Berrang, Mathias Humbert, Yang Zhang, Irina Lehmann, Roland Eils, Michael Backes
In IEEE European Symposium on Security and Privacy (EuroS&P 2018) pdf

An Active Learning-based Approach for Location-aware Acquaintance Inference

Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang
Knowledge and Information Systems (KAIS)

2017

Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang (lead author)
In ACM SIGSAC Conference on Computer and Communications Security (CCS 2017) pdf arxiv code talk slides dataset

Semantic Annotation for Places in LBSN Using Graph Embedding

Yan Wang, Zongxu Qin, Jun Pang, Yang Zhang, Xin Jin
In ACM International Conference on Information and Knowledge Management (CIKM 2017) pdf

Does #like4like Indeed Provoke More Likes?

Yang Zhang, Minyue Ni, Weili Han, Jun Pang
In International Conference on Web Intelligence (WI 2017) pdf

Quantifying Location Sociality

Jun Pang, Yang Zhang (lead author)
In ACM Conference on Hypertext and Social Media (HT 2017) pdf arxiv

DeepCity: A Feature Learning Framework for Mining Location Check-ins

Jun Pang, Yang Zhang (lead author)
In International Conference on Web and Social Media (ICWSM 2017) pdf arxiv
Press Coverage: Sentiance

2016

On Impact of Weather on Human Mobility in Cities

Jun Pang, Polina Zablotskaia, Yang Zhang (lead author)
In International Conference Web Information Systems Engineering (WISE 2016) pdf

An Empirical Study on User Access Control in Online Social Networks

Minyue Ni, Yang Zhang, Weili Han, Jun Pang
In ACM Symposium on Access Control Models and Technologies (SACMAT 2016) pdf

2015

Location Prediction: Communities Speak Louder than Friends

Jun Pang, Yang Zhang (lead author)
In ACM Conference on Online Social Networks (COSN 2015) pdf arxiv

Yang Zhang, Jun Pang
In Asia-Pacific Web Conference (APWeb 2015) pdf

Event Prediction with Community Leaders

Jun Pang, Yang Zhang (lead author)
In International Conference on Availability, Reliability and Security (ARES 2015) pdf

A Logical Approach for Blocking Access in Social Networks

Marcos Cramer, Jun Pang, Yang Zhang (lead author)
In ACM Symposium on Access Control Models and Technologies (SACMAT 2015) pdf

Cryptographic Protocols for Enforcing Topology-based Access Control Policies

Jun Pang, Yang Zhang (lead author)
In IEEE Annual Computer Software and Applications Conference (COMPSAC 2015) pdf

A New Access Control Scheme for Facebook-style Social Networks

Jun Pang, Yang Zhang (lead author)
Computers & Security pdf arxiv

Exploring Communities for Effective Location Predication

Jun Pang, Yang Zhang (lead author)
In International World Wide Web Conference (WWW 2015)(Poster) pdf

Community-driven Social Influence Analysis and Applications

Yang Zhang, Jun Pang
In International Conference on Web Engineering (ICWE 2015) (PhD symposium) pdf

2014

A New Access Control Scheme for Facebook-style Social Networks

Jun Pang, Yang Zhang (lead author)
In International Conference on Availability, Reliability and Security (ARES 2014) pdf
Best Paper Award