Mohammad Mahdi Khalili

Orcid: 0000-0002-4223-3254

According to our database1, Mohammad Mahdi Khalili authored at least 32 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Differentially Private Real-Time Release of Sequential Data.
ACM Trans. Priv. Secur., 2023

Federated Learning with Reduced Information Leakage and Computation.
CoRR, 2023

Counterfactually Fair Representation.
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.
Proceedings of the International Conference on Machine Learning, 2023

Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
RewardRating: A Mechanism Design Approach to Improve Rating Systems.
Games, 2022

Incentive Mechanisms for Strategic Classification and Regression Problems.
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.
Proceedings of the International Conference on Machine Learning, 2022

Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift.
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.
IEEE Trans. Control. Netw. Syst., 2021

Designing Contracts for Trading Private and Heterogeneous Data Using a Biased Differentially Private Algorithm.
IEEE Access, 2021

Fair Sequential Selection Using Supervised Learning Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trading Privacy through Randomized Response.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

A Mechanism Design Approach to Solve Ransomware Dilemmas.
Proceedings of the Decision and Game Theory for Security - 12th International Conference, 2021

Improving Fairness and Privacy in Selection Problems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms.
IEEE Trans. Inf. Forensics Secur., 2020

A genetic algorithm for selecting cooperative or direct communications between nodes in wireless sensor networks.
Iran J. Comput. Sci., 2020

Games on Networks with Community Structure: Existence, Uniqueness and Stability of Equilibria.
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).
IEEE J. Biomed. Health Informatics, 2019

Embracing and controlling risk dependency in cyber-insurance policy underwriting.
J. Cybersecur., 2019

Long term impact of fair machine learning in sequential decision making: representation disparity and group retention.
CoRR, 2019

Incentivizing effort in interdependent security games using resource pooling.
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.
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.
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.
IEEE Trans. Inf. Forensics Secur., 2018

Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms.
Proceedings of the 35th International Conference on Machine Learning, 2018

Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Designing cyber insurance policies in the presence of security interdependence.
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.
Proceedings of the Game Theory for Networks - 7th International EAI Conference, 2017

Embracing risk dependency in designing cyber-insurance contracts.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2015
Incentive design and market evolution of mobile user-provided networks.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015


  Loading...