Mohammad Mahdi Khalili

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Computationally Efficient

Sequential Decision Making

Differentially Private

Classification And Regression Problems

Top Venues

NetEcon@SIGMETRICS

IEEE Trans. Inf. Forensics Secur.

Publications

Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili
Privacy-Aware Randomized Quantization via Linear Programming. CoRR (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)
Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili
Imposing Fairness Constraints in Synthetic Data Generation. AISTATS (2024)
Ding Zhu, Vishnu Kabir Chhabra, Mohammad Mahdi Khalili
ECG Signal Denoising Using Multi-scale Patch Embedding and Transformers. CoRR (2024)
Tian Xie, Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes. CoRR (2024)
Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang
Counterfactually Fair Representation. CoRR (2023)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Loss Balancing for Fair Supervised Learning. ICML (2023)
Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. AAAI (2023)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Differentially Private Real-Time Release of Sequential Data. ACM Trans. Priv. Secur. 26 (1) (2023)
Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions. CoRR (2023)
Tongxin Yin, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Federated Learning with Reduced Information Leakage and Computation. CoRR (2023)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Loss Balancing for Fair Supervised Learning. CoRR (2023)
Yihe Wang, Mohammad Mahdi Khalili, Xiang Zhang
Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing. ICDM (Workshops) (2022)
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)
Iman Vakilinia, Peyman Faizian, Mohammad Mahdi Khalili
RewardRating: A Mechanism Design Approach to Improve Rating Systems. Games 13 (4) (2022)
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 (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)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
Improving Fairness and Privacy in Selection Problems. AAAI (2021)
Iman Vakilinia, Peyman Faizian, Mohammad Mahdi Khalili
RewardRating: A Mechanism Design Approach to Improve Rating Systems. CoRR (2021)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Fair Sequential Selection Using Supervised Learning Models. CoRR (2021)
Iman Vakilinia, Mohammad Mahdi Khalili, Ming Li
A Mechanism Design Approach to Solve Ransomware Dilemmas. GameSec (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)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
Fair Sequential Selection Using Supervised Learning Models. NeurIPS (2021)
Mohammad Mahdi Khalili, Iman Vakilinia
Trading Privacy through Randomized Response. INFOCOM Workshops (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)
Kun Jin, Mohammad Mahdi Khalili, Mingyan Liu
Games on Networks with Community Structure: Existence, Uniqueness and Stability of Equilibria. ACC (2020)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
Improving Fairness and Privacy in Selection Problems. CoRR (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)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms. CoRR (2019)
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) (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)
Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
Contract design for purchasing private data using a biased differentially private algorithm. NetEcon@SIGMETRICS (2019)
Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu
Incentivizing effort in interdependent security games using resource pooling. NetEcon@SIGMETRICS (2019)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. Allerton (2018)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms. CoRR (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)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. ICML (2018)
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. CoRR (2018)
Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Embracing risk dependency in designing cyber-insurance contracts. Allerton (2017)
Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Designing cyber insurance policies in the presence of security interdependence. NetEcon@EC (2017)
Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu
Designing Cyber Insurance Policies: Mitigating Moral Hazard Through Security Pre-Screening. GAMENETS (2017)
Mohammad Mahdi Khalili, Lin Gao, Jianwei Huang, Babak Hossein Khalaj
Incentive design and market evolution of mobile user-provided networks. INFOCOM Workshops (2015)
Mohammad Mahdi Khalili, Lin Gao, Jianwei Huang, Babak Hossein Khalaj
Incentive Design and Market Evolution of Mobile User-Provided Networks. CoRR (2015)