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ORCIDMingyan Liu
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- affiliation: University of Michigan, Ann Arbor, USA
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2020 – today
- 2024
[j76]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)- [j75]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) - [j74]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): 3305-3316 (2024) - [j73]Kun Jin, Parinaz Naghizadeh, Mingyan Liu:
Structured Network Games: Leveraging Relational Information in Equilibrium Analysis. IEEE Trans. Netw. Sci. Eng. 11(5): 4836-4849 (2024) - [c141]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: 12938-12946 - [c140]Jiayu Mao, Tongxin Yin, Aylin Yener, Mingyan Liu:
Leveraging the Physical Layer for Differential Privacy in Over-the-Air Federated Learning. ICC 2024: 1461-1466 - [c139]Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu:
Fair Classifiers that Abstain without Harm. ICLR 2024 - [i64]Ziyuan Huang, Gergely Biczók, Mingyan Liu:
Incentivizing Secure Software Development: The Role of Liability (Waiver) and Audit. CoRR abs/2401.08476 (2024) - [i63]Chenlan Wang, Mehrdad Moharrami, Mingyan Liu:
A Stackelberg Game Model of Flocking. CoRR abs/2407.19678 (2024) - 2023
- [j72]Tongxin Yin, Armin Sarabi, Mingyan Liu:
Deterrence, Backup, or Insurance: Game-Theoretic Modeling of Ransomware. Games 14(2): 20 (2023) - [j71]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Differentially Private Real-Time Release of Sequential Data. ACM Trans. Priv. Secur. 26(1): 1:1-1:29 (2023) - [c138]Kun Jin, Ziyuan Huang, Mingyan Liu:
Collaboration as a Mechanism for More Robust Strategic Classification. CDC 2023: 235-240 - [c137]Chenlan Wang, Shane G. DuBay, Mingyan Liu:
Cooperation and Competition: A Sequential Game Model of Flocking. CDC 2023: 2214-2219 - [c136]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 - [c135]Armin Sarabi, Tongxin Yin, Mingyan Liu:
An LLM-based Framework for Fingerprinting Internet-connected Devices. IMC 2023: 478-484 - [c134]Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu:
Long-Term Fairness with Unknown Dynamics. NeurIPS 2023 - [i62]Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu:
Long-Term Fairness with Unknown Dynamics. CoRR abs/2304.09362 (2023) - [i61]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 abs/2305.05090 (2023) - [i60]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 abs/2306.04090 (2023) - [i59]Tongxin Yin, Jean-François Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu:
Fair Classifiers that Abstain without Harm. CoRR abs/2310.06205 (2023) - [i58]Tongxin Yin, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Federated Learning with Reduced Information Leakage and Computation. CoRR abs/2310.06341 (2023) - 2022
- [c133]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: 1010-1018 - [c132]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: 3023-3032 - [c131]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 B. 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: 16-25 - [c130]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: 387-393 - [c129]Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu:
Fairness Interventions as (Dis)Incentives for Strategic Manipulation. ICML 2022: 26239-26264 - [c128]Kun Jin, Xueru Zhang, Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Incentive Mechanisms for Strategic Classification and Regression Problems. EC 2022: 760-790 - [i57]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 abs/2211.00322 (2022) - 2021
- [b2]Mingyan Liu:
Embracing Risk: Cyber Insurance as an Incentive Mechanism for Cybersecurity. Synthesis Lectures on Learning, Networks, and Algorithms, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01253-2, pp. 1-143 - [j70]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: 14179-14180 (2021) - [j69]Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu:
Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm. IEEE Access 9: 70732-70745 (2021) - [j68]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): 7360-7371 (2021) - [j67]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): 11773-11775 (2021) - [j66]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): 964-975 (2021) - [j65]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): 17:1-17:36 (2021) - [j64]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): 3280-3296 (2021) - [c127]Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu:
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. AAAI 2021: 5497-5505 - [c126]Kun Jin, Mingyan Liu:
Multi-planner Intervention in Network Games with Community Structures. CDC 2021: 2374-2379 - [c125]Chenlan Wang, Mehrdad Moharrami, Kun Jin, David Kempe, P. Jeffrey Brantingham, Mingyan Liu:
Structural Stability of a Family of Group Formation Games. CDC 2021: 3080-3085 - [c124]Kun Jin, Tongxin Yin, Charles A. Kamhoua, Mingyan Liu:
Network Games with Strategic Machine Learning. GameSec 2021: 118-137 - [c123]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: 7506-7515 - [c122]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. SP 2021: 176-194 - [c121]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: 1-12 - [i56]Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu:
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. CoRR abs/2101.08314 (2021) - [i55]Kun Jin, Mingyan Liu:
Multi-planner intervention in network games with community structures. CoRR abs/2103.16351 (2021) - [i54]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 abs/2105.01792 (2021) - [i53]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 abs/2106.09249 (2021) - [i52]Chenlan Wang, Mehrdad Moharrami, Kun Jin, David Kempe, P. Jeffrey Brantingham, Mingyan Liu:
Structural Stability of a Family of Group Formation Games. CoRR abs/2109.12729 (2021) - [i51]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): 36-56 (2021) - 2020
- [j63]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: 146006-146026 (2020) - [j62]Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar:
Distributed learning of average belief over networks using sequential observations. Autom. 115: 108857 (2020) - [j61]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. IEEE Trans. Inf. Forensics Secur. 15: 1723-1734 (2020) - [j60]Parinaz Naghizadeh, Mingyan Liu:
Using Private and Public Assessments in Security Information Sharing Agreements. IEEE Trans. Inf. Forensics Secur. 15: 1801-1814 (2020) - [c120]Kun Jin, Mohammad Mahdi Khalili, Mingyan Liu:
Games on Networks with Community Structure: Existence, Uniqueness and Stability of Equilibria. ACC 2020: 4664-4670 - [c119]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 - [c118]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 - [c117]Ranjan Pal, Ziyuan Huang, Xinlong Yin, Mingyan Liu, Sergey V. Lototsky, Jon Crowcroft:
Sustainable Catastrophic Cyber-Risk Management in IoT Societies. WSC 2020: 3105-3116 - [i50]Xueru Zhang, Mingyan Liu:
Fairness in Learning-Based Sequential Decision Algorithms: A Survey. CoRR abs/2001.04861 (2020) - [i49]Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang:
How Do Fair Decisions Fare in Long-term Qualification? CoRR abs/2010.11300 (2020) - [i48]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 abs/2012.08729 (2020)
2010 – 2019
- 2019
- [j59]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): 91-97 (2019) - [j58]Mohammad Mahdi Khalili, Mingyan Liu, Sasha Romanosky:
Embracing and controlling risk dependency in cyber-insurance policy underwriting. J. Cybersecur. 5(1): tyz010 (2019) - [j57]Yechao Bai, Qingsi Wang, Chun Lo, Mingyan Liu, Jerome P. Lynch, Xinggan Zhang:
Adaptive Bayesian group testing: Algorithms and performance. Signal Process. 156: 191-207 (2019) - [j56]Daibo Liu, Zhichao Cao, Mingyan Liu, Mengshu Hou, Hongbo Jiang:
Contention-Detectable Mechanism for Receiver-Initiated MAC. ACM Trans. Embed. Comput. Syst. 18(4): 31:1-31:27 (2019) - [j55]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): 6092-6104 (2019) - [c116]Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu:
MeshAdv: Adversarial Meshes for Visual Recognition. CVPR 2019: 6898-6907 - [c115]Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu:
Effective Premium Discrimination for Designing Cyber Insurance Policies with Rare Losses. GameSec 2019: 259-275 - [c114]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: 3967-3976 - [c113]Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu:
Contract design for purchasing private data using a biased differentially private algorithm. NetEcon@SIGMETRICS 2019: 4:1-4:6 - [c112]Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu:
Incentivizing effort in interdependent security games using resource pooling. NetEcon@SIGMETRICS 2019: 5:1-5:6 - [c111]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: 15243-15252 - [i47]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 abs/1905.00569 (2019) - [i46]Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li:
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems. CoRR abs/1907.05418 (2019) - [i45]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 abs/1907.09470 (2019) - [i44]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. CoRR abs/1910.04581 (2019) - 2018
- [j54]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): 2226-2239 (2018) - [j53]Parinaz Naghizadeh, Mingyan Liu:
Provision of Public Goods on Networks: On Existence, Uniqueness, and Centralities. IEEE Trans. Netw. Sci. Eng. 5(3): 225-236 (2018) - [c110]Mehrdad Moharrami, Vijay G. Subramanian, Mingyan Liu, R. Sundaresan:
Local Weak Convergence Based Analysis of a New Graph Model. Allerton 2018: 502-503 - [c109]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. Allerton 2018: 959-965 - [c108]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: 220-237 - [c107]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. ICLR (Poster) 2018 - [c106]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. ICML 2018: 5791-5800 - [c105]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. IJCAI 2018: 3905-3911 - [c104]Armin Sarabi, Mingyan Liu:
Characterizing the Internet Host Population Using Deep Learning: A Universal and Lightweight Numerical Embedding. Internet Measurement Conference 2018: 133-146 - [c103]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: 903-918 - [i43]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. CoRR abs/1801.02610 (2018) - [i42]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. CoRR abs/1801.02612 (2018) - [i41]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. CoRR abs/1806.02246 (2018) - [i40]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. CoRR abs/1810.03197 (2018) - [i39]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. CoRR abs/1810.05162 (2018) - [i38]Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu:
Realistic Adversarial Examples in 3D Meshes. CoRR abs/1810.05206 (2018) - [i37]Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar:
Distributed Learning of Average Belief Over Networks Using Sequential Observations. CoRR abs/1811.07799 (2018) - 2017
- [j52]Yang Liu, Mingyan Liu:
An Online Learning Approach to Improving the Quality of Crowd-Sourcing. IEEE/ACM Trans. Netw. 25(4): 2166-2179 (2017) - [j51]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): 6246-6257 (2017) - [c102]Parinaz Naghizadeh, Mingyan Liu:
On the uniqueness and stability of equilibria of network games. Allerton 2017: 280-286 - [c101]Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Embracing risk dependency in designing cyber-insurance contracts. Allerton 2017: 926-933 - [c100]Yang Liu, Ji Liu, Tamer Basar, Mingyan Liu:
Distributed belief averaging using sequential observations. ACC 2017: 680-685 - [c99]Donya Ghavidel Dobakhshari, Parinaz Naghizadeh, Mingyan Liu, Vijay Gupta:
A reputation-based contract for repeated crowdsensing with costly verification. ACC 2017: 5243-5248 - [c98]Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Designing Cyber Insurance Policies: Mitigating Moral Hazard Through Security Pre-Screening. GAMENETS 2017: 63-73 - [c97]Yang Liu, Mingyan Liu:
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data. IJCAI 2017: 317-323 - [c96]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: 113-125 - [c95]Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Designing cyber insurance policies in the presence of security interdependence. NetEcon@EC 2017: 7:1-7:6 - 2016
- [j50]Armin Sarabi, Parinaz Naghizadeh, Yang Liu, Mingyan Liu:
Risky business: Fine-grained data breach prediction using business profiles. J. Cybersecur. 2(1): 15-28 (2016) - [j49]Parinaz Naghizadeh, Mingyan Liu:
Opting Out of Incentive Mechanisms: A Study of Security as a Non-Excludable Public Good. IEEE Trans. Inf. Forensics Secur. 11(12): 2790-2803 (2016) - [j48]Parinaz Naghizadeh, Mingyan Liu:
Perceptions and Truth: A Mechanism Design Approach to Crowd-Sourcing Reputation. IEEE/ACM Trans. Netw. 24(1): 163-176 (2016) - [j47]Qingsi Wang, Mingyan Liu:
Learning in Hide-and-Seek. IEEE/ACM Trans. Netw. 24(2): 1279-1292 (2016) - [j46]Xiaoyu Ji, Jiliang Wang, Mingyan Liu, Yubo Yan, Panlong Yang, Yunhao Liu:
Hitchhike: A Preamble-Based Control Plane for SNR-Sensitive Wireless Networks. IEEE Trans. Wirel. Commun. 15(2): 1239-1251 (2016) - [j45]Jing Xu, Qingsi Wang, Kai Zeng, Mingyan Liu, Wei Liu:
Sniffer Channel Assignment With Imperfect Monitoring for Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 15(3): 1703-1715 (2016) - [c94]Yang Liu, Mingyan Liu:
Finding One's Best Crowd: Online Learning By Exploiting Source Similarity. AAAI 2016: 1895-1901 - [c93]Parinaz Naghizadeh, Mingyan Liu:
Inter-Temporal Incentives in Security Information Sharing Agreements. AAAI Workshop: Artificial Intelligence for Cyber Security 2016 - [c92]Parinaz Naghizadeh, Mingyan Liu:
Exit equilibrium: Towards understanding voluntary participation in security games. INFOCOM 2016: 1-9 - [c91]