Omar Montasser

About Omar Montasser

Omar Montasser, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Toyota Technological Institute, specializes in the field of Machine Learning, Learning Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Agnostic Multi-Robust Learning using ERM

Strategic classification under unknown personalized manipulation

Theoretical Foundations of Adversarially Robust Learning

Certifiable (Multi) Robustness Against Patch Attacks Using ERM

Adversarially robust learning: A generic minimax optimal learner and characterization

Boosting barely robust learners: A new perspective on adversarial robustness

A theory of PAC learnability under transformation invariances

Certifiable Robustness Against Patch Attacks Using an ERM Oracle

Omar Montasser Information

University

Position

PhD Student

Citations(all)

321

Citations(since 2020)

316

Cited By

69

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Omar Montasser Skills & Research Interests

Machine Learning

Learning Theory

Top articles of Omar Montasser

Agnostic Multi-Robust Learning using ERM

2024/4/18

Strategic classification under unknown personalized manipulation

Advances in Neural Information Processing Systems

2024/2/13

Theoretical Foundations of Adversarially Robust Learning

arXiv preprint arXiv:2306.07723

2023/6/13

Omar Montasser
Omar Montasser

H-Index: 4

Certifiable (Multi) Robustness Against Patch Attacks Using ERM

arXiv preprint arXiv:2303.08944

2023/3/15

Adversarially robust learning: A generic minimax optimal learner and characterization

Advances in Neural Information Processing Systems

2022/12/6

Omar Montasser
Omar Montasser

H-Index: 4

Steve Hanneke
Steve Hanneke

H-Index: 18

Boosting barely robust learners: A new perspective on adversarial robustness

Advances in Neural Information Processing Systems

2022/12/6

A theory of PAC learnability under transformation invariances

Advances in Neural Information Processing Systems

2022/12/6

Certifiable Robustness Against Patch Attacks Using an ERM Oracle

2022/11/18

Transductive Robust Learning Guarantees

2022/5/3

Adversarially Robust Learning with Unknown Perturbation Sets

2021/7/21

Efficiently Learning Adversarially Robust Halfspaces with Noise

2020/11/21

Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity

2020/7/15

Identifying unpredictable test examples with worst-case guarantees

2020/2/2

Omar Montasser
Omar Montasser

H-Index: 4

Reducing Adversarially Robust Learning to Non-Robust PAC Learning

Advances in Neural Information Processing Systems

2020

Omar Montasser
Omar Montasser

H-Index: 4

Steve Hanneke
Steve Hanneke

H-Index: 18

Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples

Advances in Neural Information Processing Systems (NeurIPS) 2020

2020

Omar Montasser
Omar Montasser

H-Index: 4

See List of Professors in Omar Montasser University(Toyota Technological Institute)

Co-Authors

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