Mingyan Liu

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 133

Top Venues

Publications

Kun Jin, Parinaz Naghizadeh, Mingyan Liu
Structured Network Games: Leveraging Relational Information in Equilibrium Analysis. IEEE Trans. Netw. Sci. Eng. 11 (5) (2024)
Ziyuan Huang, Gergely Biczók, Mingyan Liu
Incentivizing Secure Software Development: The Role of Liability (Waiver) and Audit. CoRR (2024)
Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
Fair Classifiers that Abstain without Harm. ICLR (2024)
Tongxin Yin, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Federated Learning with Reduced Information Leakage and Computation. Trans. Mach. Learn. Res. 2024 (2024)
Ziyuan Huang, Parinaz Naghizadeh, Mingyan Liu
Interdependent security games in the Stackelberg style: how first-mover advantage impacts free riding and security (under-)investment. J. Cybersecur. 10 (1) (2024)
Chenlan Wang, Mehrdad Moharrami, Mingyan Liu
A Stackelberg Game Model of Flocking. CoRR (2024)
Chenlan Wang, Mehrdad Moharrami, Kun Jin, David Kempe, P. Jeffrey Brantingham, Mingyan Liu
Structural Stability of a Family of Spatial Group Formation Games. IEEE Trans. Netw. Sci. Eng. 11 (4) (2024)
Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. AAAI (2024)
Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. CoRR (2023)
Tongxin Yin, Armin Sarabi, Mingyan Liu
Deterrence, Backup, or Insurance: Game-Theoretic Modeling of Ransomware. Games 14 (2) (2023)
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
Long-Term Fairness with Unknown Dynamics. CoRR (2023)
Tongxin Yin, Jean-François Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu
Fair Classifiers that Abstain without Harm. CoRR (2023)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Differentially Private Real-Time Release of Sequential Data. ACM Trans. Priv. Secur. 26 (1) (2023)
Xiusi Chen, Wei-Yao Wang, Ziniu Hu, Curtis Chou, Lam Hoang, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
Professional Basketball Player Behavior Synthesis via Planning with Diffusion. CoRR (2023)
Kun Jin, Ziyuan Huang, Mingyan Liu
Collaboration as a Mechanism for More Robust Strategic Classification. CDC (2023)
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu
Long-Term Fairness with Unknown Dynamics. NeurIPS (2023)
Tongxin Yin, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Federated Learning with Reduced Information Leakage and Computation. CoRR (2023)
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
DensePure: Understanding Diffusion Models for Adversarial Robustness. ICLR (2023)
Armin Sarabi, Tongxin Yin, Mingyan Liu
An LLM-based Framework for Fingerprinting Internet-connected Devices. IMC (2023)
Chenlan Wang, Shane G. DuBay, Mingyan Liu
Cooperation and Competition: A Sequential Game Model of Flocking. CDC (2023)
Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song
Characterizing Attacks on Deep Reinforcement Learning. AAMAS (2022)
Xingxing Cheng, Xianfeng Ding, Jie Zhang, Mingyan Liu, Kexin Chang, Junyi Wang, Changyuan Zhou, Ji Yuan
Multi-stage Floor Plan Recognition and 3D Reconstruction. ICCAI (2022)
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
DensePure: Understanding Diffusion Models towards Adversarial Robustness. CoRR (2022)
Kun Jin, Xueru Zhang, Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Incentive Mechanisms for Strategic Classification and Regression Problems. EC (2022)
Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu
Fairness Interventions as (Dis)Incentives for Strategic Manipulation. ICML (2022)
Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC (2022)
Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. CIKM (2022)
Simon Dejung, Mingyan Liu, Arndt Lüder, Edgar R. Weippl
Managing Industrial Control Systems Security Risks for Cyber Insurance (Dagstuhl Seminar 21451). Dagstuhl Reports 11 (10) (2021)
Kun Jin, Mingyan Liu
Multi-planner intervention in network games with community structures. CoRR (2021)
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. CoRR (2021)
Ranjan Pal, Ziyuan Huang, Xinlong Yin, Sergey V. Lototsky, Swades De, Sasu Tarkoma, Mingyan Liu, Jon Crowcroft, Nishanth Sastry
Corrections to Aggregate Cyber-Risk Management in the IoT Age: Cautionary Statistics for (Re)Insurers and Likes. IEEE Internet Things J. 8 (14) (2021)
Chenlan Wang, Mehrdad Moharrami, Kun Jin, David Kempe, P. Jeffrey Brantingham, Mingyan Liu
Structural Stability of a Family of Group Formation Games. CoRR (2021)
Ranjan Pal, Ziyuan Huang, Xinlong Yin, Sergey V. Lototsky, Swades De, Sasu Tarkoma, Mingyan Liu, Jon Crowcroft, Nishanth Sastry
Aggregate Cyber-Risk Management in the IoT Age: Cautionary Statistics for (Re)Insurers and Likes. CoRR (2021)
Ranjan Pal, Charles Light, Yifan Dong, Mingyan Liu, Yixuan Wang, Pradipta Ghosh, Harshith Nagubandi, Leana Golubchik, Bodhibrata Nag, Swades De
Do People Favor Personal Data Markets in a Surveillance Society? WSC (2021)
Ranjan Pal, Junhui Li, Jon Crowcroft, Yong Li, Mingyan Liu, Nishanth Sastry
Privacy Risk is a Function of Information Type: Learnings for the Surveillance Capitalism Age. IEEE Trans. Netw. Serv. Manag. 18 (3) (2021)
Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li
Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings? ICCV (2021)
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. IEEE Symposium on Security and Privacy (2021)
Chenlan Wang, Mehrdad Moharrami, Kun Jin, David Kempe, P. Jeffrey Brantingham, Mingyan Liu
Structural Stability of a Family of Group Formation Games. CDC (2021)
Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. CoRR (2021)
Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm. IEEE Access 9 (2021)
Ranjan Pal, Ziyuan Huang, Xinlong Yin, Sergey V. Lototsky, Swades De, Sasu Tarkoma, Mingyan Liu, Jon Crowcroft, Nishanth Sastry
Aggregate Cyber-Risk Management in the IoT Age Cautionary Statistics for (Re)Insurers and Likes. IEEE Internet Things J. 8 (9) (2021)
Kun Jin, Mingyan Liu
Multi-planner Intervention in Network Games with Community Structures. CDC (2021)
Ranjan Pal, Ziyuan Huang, Sergey V. Lototsky, Xinlong Yin, Mingyan Liu, Jon Crowcroft, Nishanth Sastry, Swades De, Bodhibrata Nag
Will Catastrophic Cyber-Risk Aggregation Thrive in the IoT Age? A Cautionary Economics Tale for (Re-)Insurers and Likes. ACM Trans. Manag. Inf. Syst. 12 (2) (2021)
Ranjan Pal, Jon Crowcroft, Yixuan Wang, Yong Li, Swades De, Sasu Tarkoma, Mingyan Liu, Bodhibrata Nag, Abhishek Kumar, Pan Hui
Corrections to "Preference-Based Privacy Markets". IEEE Access 9 (2021)
Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. AAAI (2021)
Kun Jin, Tongxin Yin, Charles A. Kamhoua, Mingyan Liu
Network Games with Strategic Machine Learning. GameSec (2021)
Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
Resource Pooling for Shared Fate: Incentivizing Effort in Interdependent Security Games Through Cross-Investments. IEEE Trans. Control. Netw. Syst. 8 (2) (2021)
Ranjan Pal, Jon Crowcroft, Yixuan Wang, Yong Li, Swades De, Sasu Tarkoma, Mingyan Liu, Bodhibrata Nag, Abhishek Kumar, Pan Hui
Preference-Based Privacy Markets. IEEE Access 8 (2020)
Kun Jin, Mohammad Mahdi Khalili, Mingyan Liu
Games on Networks with Community Structure: Existence, Uniqueness and Stability of Equilibria. ACC (2020)
Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar
Distributed learning of average belief over networks using sequential observations. Autom. 115 (2020)
Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang
How do fair decisions fare in long-term qualification? NeurIPS (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations. NeurIPS (2020)
Xueru Zhang, Mingyan Liu
Fairness in Learning-Based Sequential Decision Algorithms: A Survey. CoRR (2020)
Parinaz Naghizadeh, Mingyan Liu
Using Private and Public Assessments in Security Information Sharing Agreements. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Ranjan Pal, Junhui Li, Yixuan Wang, Mingyan Liu, Swades De, Jon Crowcroft
Data Trading with a Monopoly Social Network: Outcomes are Mostly Privacy Welfare Damaging. CoRR (2020)
Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang
How Do Fair Decisions Fare in Long-term Qualification? CoRR (2020)
Ranjan Pal, Ziyuan Huang, Xinlong Yin, Mingyan Liu, Sergey V. Lototsky, Jon Crowcroft
Sustainable Catastrophic Cyber-Risk Management in IoT Societies. WSC (2020)
Donya Ghavidel Dobakhshari, Parinaz Naghizadeh, Mingyan Liu, Vijay Gupta
A Reputation-Based Contract for Repeated Crowdsensing With Costly Verification. IEEE Trans. Signal Process. 67 (23) (2019)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. CoRR (2019)
Yechao Bai, Qingsi Wang, Chun Lo, Mingyan Liu, Jerome P. Lynch, Xinggan Zhang
Adaptive Bayesian group testing: Algorithms and performance. Signal Process. 156 (2019)
Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
Effective Premium Discrimination for Designing Cyber Insurance Policies with Rare Losses. GameSec (2019)
Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu
Long term impact of fair machine learning in sequential decision making: representation disparity and group retention. CoRR (2019)
Mohammad Mahdi Khalili, Mingyan Liu, Sasha Romanosky
Embracing and controlling risk dependency in cyber-insurance policy underwriting. J. Cybersecur. 5 (1) (2019)
Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu
MeshAdv: Adversarial Meshes for Visual Recognition. CVPR (2019)
Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems. CoRR (2019)
Xueru Zhang, Chunan Huang, Mingyan Liu, Anna G. Stefanopoulou, Tulga Ersal
Predictive Cruise Control with Private Vehicle-to-Vehicle Communication for Improving Fuel Consumption and Emissions. IEEE Commun. Mag. 57 (10) (2019)
Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
Contract design for purchasing private data using a biased differentially private algorithm. NetEcon@SIGMETRICS (2019)
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song
Characterizing Attacks on Deep Reinforcement Learning. CoRR (2019)
Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. ICCV (2019)
Daibo Liu, Zhichao Cao, Mingyan Liu, Mengshu Hou, Hongbo Jiang
Contention-Detectable Mechanism for Receiver-Initiated MAC. ACM Trans. Embed. Comput. Syst. 18 (4) (2019)
Xueru Zhang, Mohammadmahdi Khaliligarekani, Cem Tekin, Mingyan Liu
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness. NeurIPS (2019)
Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
Incentivizing effort in interdependent security games using resource pooling. NetEcon@SIGMETRICS (2019)
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. ECCV (10) (2018)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. Allerton (2018)
Parinaz Naghizadeh, Mingyan Liu
Provision of Public Goods on Networks: On Existence, Uniqueness, and Centralities. IEEE Trans. Netw. Sci. Eng. 5 (3) (2018)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. CoRR (2018)
Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song
Spatially Transformed Adversarial Examples. ICLR (Poster) (2018)
Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Designing Cyber Insurance Policies: The Role of Pre-Screening and Security Interdependence. IEEE Trans. Inf. Forensics Secur. 13 (9) (2018)
Mehrdad Moharrami, Vijay G. Subramanian, Mingyan Liu, R. Sundaresan
Local Weak Convergence Based Analysis of a New Graph Model. Allerton (2018)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. ICML (2018)
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. CoRR (2018)
Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu
Realistic Adversarial Examples in 3D Meshes. CoRR (2018)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. CoRR (2018)
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song
Generating Adversarial Examples with Adversarial Networks. CoRR (2018)
Armin Sarabi, Mingyan Liu
Characterizing the Internet Host Population Using Deep Learning: A Universal and Lightweight Numerical Embedding. Internet Measurement Conference (2018)
Chaowei Xiao, Armin Sarabi, Yang Liu, Bo Li, Mingyan Liu, Tudor Dumitras
From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild. USENIX Security Symposium (2018)
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song
Generating Adversarial Examples with Adversarial Networks. IJCAI (2018)
Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song
Spatially Transformed Adversarial Examples. CoRR (2018)
Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar
Distributed Learning of Average Belief Over Networks Using Sequential Observations. CoRR (2018)
Chenshu Wu, Zheng Yang, Zimu Zhou, Yunhao Liu, Mingyan Liu
Mitigating Large Errors in WiFi-Based Indoor Localization for Smartphones. IEEE Trans. Veh. Technol. 66 (7) (2017)
Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Embracing risk dependency in designing cyber-insurance contracts. Allerton (2017)
Yang Liu, Ji Liu, Tamer Basar, Mingyan Liu
Distributed belief averaging using sequential observations. ACC (2017)
Armin Sarabi, Ziyun Zhu, Chaowei Xiao, Mingyan Liu, Tudor Dumitras
Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State. PAM (2017)
Yang Liu, Mingyan Liu
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data. IJCAI (2017)
Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Designing cyber insurance policies in the presence of security interdependence. NetEcon@EC (2017)
Parinaz Naghizadeh, Mingyan Liu
On the uniqueness and stability of equilibria of network games. Allerton (2017)
Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Designing Cyber Insurance Policies: Mitigating Moral Hazard Through Security Pre-Screening. GAMENETS (2017)
Donya Ghavidel Dobakhshari, Parinaz Naghizadeh, Mingyan Liu, Vijay Gupta
A reputation-based contract for repeated crowdsensing with costly verification. ACC (2017)
Yang Liu, Mingyan Liu
An Online Learning Approach to Improving the Quality of Crowd-Sourcing. IEEE/ACM Trans. Netw. 25 (4) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mingyan Liu