Hadi M. Dolatabadi

CoRR, 2024

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Adversarial Coreset Selection for Efficient Robust Training.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., December, 2023

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

2022

A Novel Perspective on Robustness in Deep Learning.

[BibT_eX]

[DOI]

PhD thesis, 2022

ℓ <sub>∞</sub>-Robustness and Beyond: Unleashing Efficient Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

COLLIDER: A Robust Training Framework for Backdoor Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2020

Black-box Adversarial Example Generation with Normalizing Flows.

[BibT_eX]

[DOI]

CoRR, 2020

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Invertible Generative Modeling using Linear Rational Splines.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Deterministic Design of Toeplitz Matrices With Small Coherence Based on Weyl Sums.

[BibT_eX]

[DOI]