Hadi DolatabadiStudio · № IV
All publications · 19 papers · updated April 2026

Publications.

Conference papers, journal articles, and preprints across optimisation, decentralised training, generative modelling, and adversarial machine learning.

Google Scholar →

2026

NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training.

Hadi Dolatabadi, T. Ajanthan, S. Ramasinghe, C. P. H. Koneputugodage, S. Siriwardhana, V. Shevchenko, K. Pajak, J. Snewin, G. Avraham, A. Long.

arXiv 2603.03597

SENTINEL: Stagewise Integrity Verification for Pipeline-Parallel Decentralised Training.

Hadi Dolatabadi, T. Ajanthan, S. Ramasinghe, C. P. H. Koneputugodage, G. Avraham, Y. Zuo, V. Shevchenko, A. Long.

arXiv 2603.03592

AsyncMesh: Fully Asynchronous Optimisation for Data and Pipeline Parallelism.

T. Ajanthan, S. Ramasinghe, G. Avraham, Hadi Dolatabadi, C. P. H. Koneputugodage, V. Shevchenko, Y. Zuo, A. Long.

arXiv 2601.22442

Taming Curvature: Architecture Warm-up for Stable Transformer Training.

S. Ramasinghe, T. Ajanthan, Hadi Dolatabadi, C. P. H. Koneputugodage, G. Avraham, V. Shevchenko, Y. Zuo, K. Pajak, A. Long.

ICLR 2026openreview

2025

Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialisation.

A. Long, C. P. H. Koneputugodage, T. Ajanthan, Y. Zuo, G. Avraham, V. Shevchenko, Hadi Dolatabadi, S. Ramasinghe.

NeurIPS 2025openreview

Mixtures of Subspaces for Bandwidth-Efficient Context-Parallel Training.

S. Ramasinghe, T. Ajanthan, Hadi Dolatabadi, G. Avraham, V. Shevchenko, Y. Zuo, C. P. H. Koneputugodage, A. Long.

NeurIPS 2025openreview

Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks.

C. Yung, Hadi Dolatabadi, S. Erfani, C. Leckie.

PAKDD 2025

Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection.

N. Udayangani, Hadi Dolatabadi, S. Erfani, C. Leckie.

WACV 2025arXiv

2024

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

Hadi Dolatabadi, S. Erfani, C. Leckie.

ECAI 2024

2023

Adversarial Coreset Selection for Efficient Robust Training.

Hadi Dolatabadi, S. Erfani, C. Leckie.

International Journal of Computer Vision (IJCV)

2022

ℓ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training.

Hadi Dolatabadi, S. Erfani, C. Leckie.

ECCV 2022

COLLIDER: A Robust Training Framework for Backdoor Data.

Hadi Dolatabadi, S. Erfani, C. Leckie.

ACCV 2022

A Novel Perspective on Robustness in Deep Learning.

Hadi Dolatabadi.

PhD dissertation, University of Melbourne

2020

AdvFlow: Inconspicuous Black-Box Adversarial Attacks using Normalising Flows.

Hadi Dolatabadi, S. Erfani, C. Leckie.

NeurIPS 2020post

Invertible Generative Modelling using Linear Rational Splines.

Hadi Dolatabadi, S. Erfani, C. Leckie.

AISTATS 2020post

Black-Box Adversarial Example Generation with Normalising Flows.

Hadi Dolatabadi, S. Erfani, C. Leckie.

ICML Workshop, 2020

2019

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

Hadi Dolatabadi, A. Amini.

IEEE Signal Processing Letters

2017

A Sampling Theorem for Convex Shapes with Algebraic Boundaries.

Hadi Dolatabadi, A. Amini.

SampTA 2017