Fatemeh Sheikholeslami

Joined

September 2020

Names

Fatemeh Sheikholeslami (Preferred)

Emails

****@us.bosch.com (Confirmed)

****@umn.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

Amazon (amazon.com)

2022 – 2023

Machine Learning Research Scientist

Bosch Center for AI (us.bosch.com)

2019 – 2022

PhD student

University of Minnesota, Minneapolis (umn.edu)

2013 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Georgios Giannakis

2013 – 2019

Expertise

NLP and LLMs

2021 – 2023

adversarial robustness

2018 – 2023

Computer vision

2020 – 2022

Publications

Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, J Zico Kolter
- Published: 05 Dec 2022, Last Modified: 15 Feb 2026
- MLSW2022
- Readers: Everyone
Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers
Fatemeh Sheikholeslami, Wan-Yi Lin, Jan Hendrik Metzen, Huan Zhang, J Zico Kolter
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, J Zico Kolter
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- NeurIPS 2022 Workshop DistShift Poster
- Readers: Everyone
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, J Zico Kolter
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Certified robustness against adversarial patch attacks via randomized cropping
Wan-Yi Lin, Fatemeh Sheikholeslami, jinghao shi, Leslie Rice, J Zico Kolter
- Published: 21 Jun 2021, Last Modified: 05 May 2023
- ICML 2021 Workshop AML Oral
- Readers: Everyone
Certified robustness against physically-realizable patch attack via randomized cropping
Wan-Yi Lin, Fatemeh Sheikholeslami, jinghao shi, Leslie Rice, J Zico Kolter
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami, Ali Lotfi, J Zico Kolter
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone

Fatemeh Sheikholeslami

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes

Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers

Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation

Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation

Certified robustness against adversarial patch attacks via randomized cropping

Certified robustness against physically-realizable patch attack via randomized cropping

Provably robust classification of adversarial examples with detection

Co-Authors