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Biography

Jason Xue is a Senior Research Scientist at CSIRO's Data61, Australia. His current research interests are machine learning security and privacy, system and software security, and Internet measurement. He is the recipient of the ACM CCS Best Paper Award Runner-Up, ACM SIGSOFT distinguished paper award, Best Student Paper Award, and the IEEE best paper award, and his work has been featured in the mainstream press, including The New York Times, Science Daily, PR Newswire, Yahoo, The Australian Financial Review, and The Courier. He currently serves on the Program Committees of IEEE Symposium on Security and Privacy (Oakland) 2023, ACM CCS 2022, USENIX Security 2023, NDSS 2023, ACM ICSE 2023, and ACM/IEEE FSE 2023. He is a member of both ACM and IEEE.

Other Interests

Selected Publications:

Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Ruoxi Sun, Minhui Xue, Surya Nepal, Seyit Camtepe, and Salil Kanhere, PublicCheck: Public Integrity Verification for Services of Run-time Deep Models, IEEE Symposium on Security and Privacy (Oakland), 2023

Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, and Sheng Wen, StyleFool: Fooling Video Classification Systems via Style Transfer, IEEE Symposium on Security and Privacy (Oakland), 2023

Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu, and Zhen Liu, RAI^2: Responsible Identity Audit Governing the Artificial Intelligence, The Network and Distributed System Security (NDSS), 2023

Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, and Yang Xiang, The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices, The Network and Distributed System Security (NDSS), 2023

Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, and Yuqing Zhang, PPA: Preference Profiling Attack Against Federated Learning, The Network and Distributed System Security Symposium (NDSS), 2023

Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, and Minhui Xue, M^4I: Multi-modal Models Membership Inference, Conference on Neural Information Processing Systems (NeurIPS), 2022

Chaoran Li, Xiao Chen, Ruoxi Sun, Minhui Xue, Sheng Wen, Muhammad Ejaz Ahmed, Seyit Camtepe, and Yang Xiang, Cross-Language Android Permission Specification, ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2022

Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, and Sheng Wen, Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States, ACM International Conference on Software Engineering (ICSE), 2022

Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, and Minhui Xue, Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations, Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)

Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, and Damith C. Ranasinghe, TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems, IEEE Transactions on Information Forensics & Security (TIFS), 2022

Hamish Spencer, Wei Wang, Ruoxi Sun, and Minhui Xue, Dissecting Malware in the Wild, Australasian Information Security Conference (AISC), 2022 (Best Student Paper Award)

Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, and Damith Ranasinghe, An Empirical Assessment of Global COVID-19 Contact Tracing Applications, IEEE International Conference on Software Engineering (ICSE), 2021

Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, and Minhui Xue, TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing, ACM Conference on Computer and Communications Security (CCS), 2021

Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, and Jialiang Lu, Hidden Backdoors in Human-Centric Language Models, ACM Conference on Computer and Communications Security (CCS), 2021 (Best Paper Award Runner-Up)

Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, and Haojin Zhu, Dissecting Click Fraud Autonomy in the Wild, ACM Conference on Computer and Communications Security (CCS), 2021

Suibin Sun, Le Yu, Xiaokuan Zhang, Minhui Xue, Ren Zhou, Haojin Zhu, Shuang Hao, and Xiaodong Lin, Understanding and Detecting Mobile Ad Fraud Through the Lens of Invalid Traffic, ACM Conference on Computer and Communications Security (CCS), 2021

Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, and Yang Xiang, SNIPUZZ: Black-box Fuzzing of IoT Firmware via Message Snippet Inference, ACM Conference on Computer and Communications Security (CCS), 2021

Yuantian Miao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Benjamin Zi Hao Zhao, Dali Kaafar, and Yang Xiang, The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services, Privacy Enhancing Technologies Symposium (PETS), 2021

Jason Ly and Minhui Xue, Poster: Dissecting the Cryptographic Code Exchange, The Network and Distributed System Security Symposium (NDSS), 2021

Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Alina Oprea, and Haifeng Qian, With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models, IEEE Transactions on Information Forensics & Security (TIFS), 2021

Zhushou Tang, Ke Tang, Minhui Xue, Yuan Tian, Sen Chen, Muhammad Ikram, Tielei Wang, and Haojin Zhu, iOS, Your OS, Everybody’s OS: Vetting and Analyzing Network Services of iOS Applications, USENIX Security Symposium, 2020

Sen Chen, Lingling Fan, Guozhu Meng, Ting Su, Minhui Xue, Yinxing Xue, Yang Liu, and Lihua Xu, An Empirical Assessment of Security Risks of Global Android Banking Apps, IEEE International Conference on Software Engineering (ICSE), 2020

Shaofeng Li, Minhui Xue, Benjamin Zi Hao Zhao, Haojin Zhu, and Xinpeng Zhang, Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization, IEEE Transactions on Dependable and Secure Computing (TDSC), 2020

Matthew Joslin, Neng Li, Shuang Hao, Minhui Xue, and Haojin Zhu, Measuring and Analyzing Search Engine Poisoning of Linguistic Collisions, IEEE Symposium on Security and Privacy (Oakland), 2019

Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, and Simon See, DeepHunter: A Coverage-Guided Fuzz Testing Framework for Deep Neural Networks, 28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2019

Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, and Keith Ross, Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks, The Network and Distributed System Security Symposium (NDSS), 2018

Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, and Yadong Wang, DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems, IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018 (Distinguished Paper Award)

Minhui Xue, Cameron L. Ballard, Kelvin Liu, Carson L. Nemelka, Yanqiu Wu, Keith W. Ross, and Haifeng Qian, You Can Yak but You Can’t Hide: Localizing Anonymous Social Network Users, ACM Conference on Internet Measurement Conference (IMC), 2016

Minhui Xue, Gabriel Magno, Evandro Cunha, Virgilio Almeida, and Keith W. Ross, The Right to be Forgotten in the Media: A Data-Driven Study, Proceedings on Privacy Enhancing Technologies (PETS), 2016

Achievements and Awards

  • 2021-2022

    Best Student Paper Award
    Australasian Information Security Conference

  • 2021-2021

    Best Paper Award Runner-Up
    ACM Conference on Computer and Communications Security (CCS)

  • 2018-2018

    Distinguished Paper Award
    ACM SIGSOFT International Conference on Automated Software Engineering (ASE)

  • 2017-2017

    Research Forum Award
    Deep Learning Security Workshop (NUS)

  • 2015-2015

    Best Paper Award
    IEEE International Symposium on Security and Privacy in Social Networks and Big Data

  • 2020-2021

    Faculty Award of Overall Awesome
    The University of Adelaide

Current Roles

  • Senior Research Scientist
    DSS Group, CSIRO's Data61

Academic Qualifications

  • 2018

    PhD – Computer Science (PhD Supervisor: Keith W. Ross)
    East China Normal University

  • 2013

    Bachelor of Science – Pure and Applied Mathematics
    East China Normal University

Professional Experiences

  • 2019-2022

    Lecturer (a.k.a. Assistant Professor)
    The University of Adelaide

  • 2018-2019

    Postdoctoral Research Fellow
    Macquarie University

  • 2018-2019

    Visiting Research Scientist
    CSIRO's Data61

Other highlights

  • 2020-2020

    COVIDSafe app best of class for privacy, says study, The Australian Financial Review

  • 2020-2020

    COVIDSafe app dubbed safest in the world, The Courier

  • 2016-2016

    Researchers Uncover a Flaw in Europe’s Tough Privacy Rules, The New York Times

  • 2016-2016

    A Loophole in the Right to Be Forgotten, Columbia Journalism Review

  • 2016-2016

    Is Anything Ever ‘Forgotten’ Online?, The Conversation

  • 2016-2016

    Weak Spots in Europe’s ‘Right to be Forgotten’ Data Privacy law, Science Daily

  • 2016-2016

    Hold That Talk: NYU Researchers Discover Clues For Identifying Yik Yak Users on College Campuses, PR Newswire, ACM TechNews, Yahoo

Grants

  • 2021-2023

    ARC Discovery Project: Intelligent Technologies for Smart Cryptography

  • 2020-2020

    RBlavatnik Interdisciplinary Cyber Research Center, Tel ‎Aviv University, Israel: Leakage-free Cryptography: Eliminating Side Channel Leakage Using Compiler Optimization

  • 2021-2022

    ECMS COVID-19 Recognition Fund, The University of Adelaide, Australia

  • 2020-2021

    Sustainable & Smart Built Environment ECMS Seed Funding, The University of Adelaide, Australia: Intelligent Technologies for Smart Cryptography