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Journal Articles
- 2023
[j9]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)- 2022
- [j8]Iman Vakilinia, Peyman Faizian, Mohammad Mahdi Khalili:
RewardRating: A Mechanism Design Approach to Improve Rating Systems. Games 13(4): 52 (2022) - 2021
- [j7]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) - [j6]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) - 2020
- [j5]Mahdi Khalili, Mohammad Khalily Dermany:
A genetic algorithm for selecting cooperative or direct communications between nodes in wireless sensor networks. Iran J. Comput. Sci. 3(1): 25-33 (2020) - [j4]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) - 2019
- [j3]Mohammad Mahdi Khalili, Mingyan Liu, Sasha Romanosky:
Embracing and controlling risk dependency in cyber-insurance policy underwriting. J. Cybersecur. 5(1): tyz010 (2019) - [j2]Houtan Jebelli, Mohammad Mahdi Khalili, SangHyun Lee:
A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multitask Learning Algorithms (OMTL). IEEE J. Biomed. Health Informatics 23(5): 1928-1939 (2019) - 2018
- [j1]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)
Conference and Workshop Papers
- 2023
- [c21]Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili:
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. AAAI 2023: 6649-6657 - [c20]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Loss Balancing for Fair Supervised Learning. ICML 2023: 16271-16290 - [c19]Zhiqun Zuo, Mahdi Khalili, Xueru Zhang:
Counterfactually Fair Representation. NeurIPS 2023 - 2022
- [c18]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. AISTATS 2022: 7433-7449 - [c17]Yihe Wang, Mohammad Mahdi Khalili, Xiang Zhang:
Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing. ICDM (Workshops) 2022: 901-909 - [c16]Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu:
Fairness Interventions as (Dis)Incentives for Strategic Manipulation. ICML 2022: 26239-26264 - [c15]Kun Jin, Xueru Zhang, Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Incentive Mechanisms for Strategic Classification and Regression Problems. EC 2022: 760-790 - 2021
- [c14]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi:
Improving Fairness and Privacy in Selection Problems. AAAI 2021: 8092-8100 - [c13]Iman Vakilinia, Mohammad Mahdi Khalili, Ming Li:
A Mechanism Design Approach to Solve Ransomware Dilemmas. GameSec 2021: 181-194 - [c12]Mohammad Mahdi Khalili, Iman Vakilinia:
Trading Privacy through Randomized Response. INFOCOM Workshops 2021: 1-6 - [c11]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Fair Sequential Selection Using Supervised Learning Models. NeurIPS 2021: 28144-28155 - 2020
- [c10]Kun Jin, Mohammad Mahdi Khalili, Mingyan Liu:
Games on Networks with Community Structure: Existence, Uniqueness and Stability of Equilibria. ACC 2020: 4664-4670 - 2019
- [c9]Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu:
Effective Premium Discrimination for Designing Cyber Insurance Policies with Rare Losses. GameSec 2019: 259-275 - [c8]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 - [c7]Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu:
Incentivizing effort in interdependent security games using resource pooling. NetEcon@SIGMETRICS 2019: 5:1-5:6 - 2018
- [c6]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. Allerton 2018: 959-965 - [c5]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. ICML 2018: 5791-5800 - 2017
- [c4]Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Embracing risk dependency in designing cyber-insurance contracts. Allerton 2017: 926-933 - [c3]Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Designing Cyber Insurance Policies: Mitigating Moral Hazard Through Security Pre-Screening. GAMENETS 2017: 63-73 - [c2]Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu:
Designing cyber insurance policies in the presence of security interdependence. NetEcon@EC 2017: 7:1-7:6 - 2015
- [c1]Mohammad Mahdi Khalili, Lin Gao, Jianwei Huang, Babak Hossein Khalaj:
Incentive design and market evolution of mobile user-provided networks. INFOCOM Workshops 2015: 498-503
Informal and Other Publications
- 2023
- [i13]Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili:
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions. CoRR abs/2302.04791 (2023) - [i12]Tongxin Yin, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Federated Learning with Reduced Information Leakage and Computation. CoRR abs/2310.06341 (2023) - [i11]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Loss Balancing for Fair Supervised Learning. CoRR abs/2311.03714 (2023) - [i10]Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang:
Counterfactually Fair Representation. CoRR abs/2311.05420 (2023) - 2022
- [i9]Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues:
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. CoRR abs/2202.12123 (2022) - 2021
- [i8]Iman Vakilinia, Peyman Faizian, Mohammad Mahdi Khalili:
RewardRating: A Mechanism Design Approach to Improve Rating Systems. CoRR abs/2101.10954 (2021) - [i7]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan:
Fair Sequential Selection Using Supervised Learning Models. CoRR abs/2110.13986 (2021) - 2020
- [i6]Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi:
Improving Fairness and Privacy in Selection Problems. CoRR abs/2012.03812 (2020) - 2019
- [i5]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) - [i4]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. CoRR abs/1910.04581 (2019) - 2018
- [i3]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. CoRR abs/1806.02246 (2018) - [i2]Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu:
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. CoRR abs/1810.03197 (2018) - 2015
- [i1]Mohammad Mahdi Khalili, Lin Gao, Jianwei Huang, Babak Hossein Khalaj:
Incentive Design and Market Evolution of Mobile User-Provided Networks. CoRR abs/1502.06327 (2015)
Coauthor Index
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