Akshay Mehra

Akshay Mehra

Tulane University

H-index: 7

North America-United States

About Akshay Mehra

Akshay Mehra, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Tulane University, specializes in the field of Adversarial Machine Learning, Machine Learning, Bilevel Optimization.

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

On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization

Risk-Averse Predictions on Unseen Domains via Neural Style Smoothing

Analysis of task transferability in large pre-trained classifiers

Understanding the robustness of multi-exit models under common corruptions

Do Domain Generalization Methods Generalize Well?

A spectral view of randomized smoothing under common corruptions: Benchmarking and improving certified robustness

On certifying and improving generalization to unseen domains

Certified adversarial defenses meet out-of-distribution corruptions: Benchmarking robustness and simple baselines

Akshay Mehra Information

University

Position

___

Citations(all)

147

Citations(since 2020)

142

Cited By

18

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Akshay Mehra Skills & Research Interests

Adversarial Machine Learning

Machine Learning

Bilevel Optimization

Top articles of Akshay Mehra

On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization

2024

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

Risk-Averse Predictions on Unseen Domains via Neural Style Smoothing

2023/8/7

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

Analysis of task transferability in large pre-trained classifiers

arXiv preprint arXiv:2307.00823

2023/7

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

Understanding the robustness of multi-exit models under common corruptions

arXiv preprint arXiv:2212.01562

2022/12/3

Akshay Mehra
Akshay Mehra

H-Index: 2

Do Domain Generalization Methods Generalize Well?

2022/11/18

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

A spectral view of randomized smoothing under common corruptions: Benchmarking and improving certified robustness

2022/10/23

On certifying and improving generalization to unseen domains

arXiv preprint arXiv:2206.12364

2022/6/24

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

Certified adversarial defenses meet out-of-distribution corruptions: Benchmarking robustness and simple baselines

European Conference on Computer Vision (ECCV)

2022

Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

2021/7/8

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

On the effectiveness of poisoning against unsupervised domain adaptation

2021/6/18

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

How Robust are Randomized Smoothing based Defenses to Data Poisoning?

2021

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

Stealthy Poisoning Attack on Certified Robustness

2020/12

Akshay Mehra
Akshay Mehra

H-Index: 2

Jihun Hamm
Jihun Hamm

H-Index: 16

Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks

arXiv preprint arXiv:2106.07925

2021/6/15

See List of Professors in Akshay Mehra University(Tulane University)

Co-Authors

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