Deterministic Design of Toeplitz Matrices With Small Coherence Based on Weyl Sums. - Hadi Mohaghegh Dolatabadi; Arash Amini (IEEE Signal Process. Lett., 2019)

Invertible Generative Modeling using Linear Rational Splines. - Hadi Mohaghegh Dolatabadi; Sarah M. Erfani; Christopher Leckie (AISTATS, 2020)

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. - Hadi Mohaghegh Dolatabadi; Sarah M. Erfani; Christopher Leckie (NeurIPS, 2020)

Black-box Adversarial Example Generation with Normalizing Flows. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (CoRR, 2020)

COLLIDER: A Robust Training Framework for Backdoor Data. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (ACCV (6), 2022)

ℓ ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (ECCV (11), 2022)

A Novel Perspective on Robustness in Deep Learning. - Hadi Mohaghegh Dolatabadi (2022)

Adversarial Coreset Selection for Efficient Robust Training. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (Int. J. Comput. Vis., 2023)

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (ECAI, 2024)

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (SaTML, 2024)

Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks. - Canaan Yung; Hadi Mohaghegh Dolatabadi; Sarah M. Erfani; Christopher Leckie (PAKDD (Workshops), 2025)

Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection. - Nimeshika Udayangani; Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (WACV, 2025)