Mohammad Mahdi Khalili

According to our database, Mohammad Mahdi Khalili authored at least 39 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Against the opacity, and for a qualitative understanding, of artificially intelligent technologies.

Mahdi Khalili

AI Ethics, November, 2024

Federated Learning with Reduced Information Leakage and Computation.

Tongxin Yin, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

Trans. Mach. Learn. Res., 2024

Lookahead Counterfactual Fairness.

Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili

CoRR, 2024

ECG Signal Denoising Using Multi-scale Patch Embedding and Transformers.

Ding Zhu, Vishnu Kabir Chhabra, Mohammad Mahdi Khalili

CoRR, 2024

Privacy-Aware Randomized Quantization via Linear Programming.

Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili

CoRR, 2024

Learning under Imitative Strategic Behavior with Unforeseeable Outcomes.

Tian Xie, Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang

CoRR, 2024

Imposing Fairness Constraints in Synthetic Data Generation.

Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Differentially Private Real-Time Release of Sequential Data.

Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

ACM Trans. Priv. Secur., 2023

Federated Learning with Reduced Information Leakage and Computation.

Tongxin Yin, Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

CoRR, 2023

Counterfactually Fair Representation.

Zhiqun Zuo, Mahdi Khalili, Xueru Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Loss Balancing for Fair Supervised Learning.

Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan

Proceedings of the International Conference on Machine Learning, 2023

Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions.

Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RewardRating: A Mechanism Design Approach to Improve Rating Systems.

Iman Vakilinia, Peyman Faizian, Mohammad Mahdi Khalili

Games, 2022

Incentive Mechanisms for Strategic Classification and Regression Problems.

Kun Jin, Xueru Zhang, Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Fairness Interventions as (Dis)Incentives for Strategic Manipulation.

Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu

Proceedings of the International Conference on Machine Learning, 2022

Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing.

Yihe Wang, Mohammad Mahdi Khalili, Xiang Zhang

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift.

Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Resource Pooling for Shared Fate: Incentivizing Effort in Interdependent Security Games Through Cross-Investments.

Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu

IEEE Trans. Control. Netw. Syst., 2021

Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm.

Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu

IEEE Access, 2021

Fair Sequential Selection Using Supervised Learning Models.

Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trading Privacy through Randomized Response.

Mohammad Mahdi Khalili, Iman Vakilinia

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

A Mechanism Design Approach to Solve Ransomware Dilemmas.

Iman Vakilinia, Mohammad Mahdi Khalili, Ming Li

Proceedings of the Decision and Game Theory for Security - 12th International Conference, 2021

Improving Fairness and Privacy in Selection Problems.

Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms.

Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

IEEE Trans. Inf. Forensics Secur., 2020

A genetic algorithm for selecting cooperative or direct communications between nodes in wireless sensor networks.

Mahdi Khalili, Mohammad Khalily Dermany

Iran J. Comput. Sci., 2020

Games on Networks with Community Structure: Existence, Uniqueness and Stability of Equilibria.

Kun Jin, Mohammad Mahdi Khalili, Mingyan Liu

Proceedings of the 2020 American Control Conference, 2020

2019

A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multitask Learning Algorithms (OMTL).

Houtan Jebelli, Mohammad Mahdi Khalili, SangHyun Lee

IEEE J. Biomed. Health Informatics, 2019

Embracing and controlling risk dependency in cyber-insurance policy underwriting.

Mohammad Mahdi Khalili, Mingyan Liu, Sasha Romanosky

J. Cybersecur., 2019

Long term impact of fair machine learning in sequential decision making: representation disparity and group retention.

Xueru Zhang, Mohammad Mahdi Khalili, Cem Tekin, Mingyan Liu

CoRR, 2019

Incentivizing effort in interdependent security games using resource pooling.

Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu

Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation, 2019

Contract design for purchasing private data using a biased differentially private algorithm.

Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu

Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation, 2019

Effective Premium Discrimination for Designing Cyber Insurance Policies with Rare Losses.

Mohammad Mahdi Khalili, Xueru Zhang, Mingyan Liu

Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

2018

Designing Cyber Insurance Policies: The Role of Pre-Screening and Security Interdependence.

Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu

IEEE Trans. Inf. Forensics Secur., 2018

Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms.

Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms.

Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Designing cyber insurance policies in the presence of security interdependence.

Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu

Proceedings of the 12th workshop on the Economics of Networks, Systems and Computation, 2017

Designing Cyber Insurance Policies: Mitigating Moral Hazard Through Security Pre-Screening.

Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu

Proceedings of the Game Theory for Networks - 7th International EAI Conference, 2017

Embracing risk dependency in designing cyber-insurance contracts.

Mohammad Mahdi Khalili, Parinaz Naghizadeh, Mingyan Liu

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2015

Incentive design and market evolution of mobile user-provided networks.

Mohammad Mahdi Khalili, Lin Gao, Jianwei Huang, Babak Hossein Khalaj

Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015