Hadi Salman

Hadi Salman

Massachusetts Institute of Technology

H-index: 20

North America-United States

About Hadi Salman

Hadi Salman, With an exceptional h-index of 20 and a recent h-index of 19 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Deep Learning, Robustness, Trustworthy ML, LLMs.

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

Extra Training Provides a Strong Baseline for CLIP

The journey, not the destination: How data guides diffusion models

Your CLIP Model Might Be Undertrained

Rethinking backdoor attacks

Raising the cost of malicious ai-powered image editing

A data-based perspective on transfer learning

3db: A framework for debugging computer vision models

When does bias transfer in transfer learning?

Hadi Salman Information

University

Position

___

Citations(all)

2147

Citations(since 2020)

2126

Cited By

455

hIndex(all)

20

hIndex(since 2020)

19

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Hadi Salman Skills & Research Interests

Deep Learning

Robustness

Trustworthy ML

LLMs

Top articles of Hadi Salman

Extra Training Provides a Strong Baseline for CLIP

2023/12/12

The journey, not the destination: How data guides diffusion models

arXiv preprint arXiv:2312.06205

2023/12/11

Your CLIP Model Might Be Undertrained

2023/10/13

Raising the cost of malicious ai-powered image editing

arXiv preprint arXiv:2302.06588

2023/2/13

A data-based perspective on transfer learning

2023

3db: A framework for debugging computer vision models

Advances in Neural Information Processing Systems

2022/12/6

When does bias transfer in transfer learning?

arXiv preprint arXiv:2207.02842

2022/7/6

Causalcity: Complex simulations with agency for causal discovery and reasoning

2022/6/28

Missingness bias in model debugging

arXiv preprint arXiv:2204.08945

2022/4/19

FFCV: Accelerating Training by Removing Data Bottlenecks

2023

Certified patch robustness via smoothed vision transformers

2022

Unadversarial examples: Designing objects for robust vision

Advances in Neural Information Processing Systems

2021/12/6

Randomized smoothing of all shapes and sizes

2020/11/21

Improved image wasserstein attacks and defenses

International Conference on Learning Representations - Workshop

2020/4/26

Hadi Salman
Hadi Salman

H-Index: 10

Denoised smoothing: A provable defense for pretrained classifiers

Advances in Neural Information Processing Systems

2020

Do adversarially robust imagenet models transfer better?

Advances in Neural Information Processing Systems

2020

See List of Professors in Hadi Salman University(Massachusetts Institute of Technology)

Co-Authors

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