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Hadi M. Dolatabadi
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2020 – today
- 2024
- [c6]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. ECAI 2024: 2540-2547 - [c5]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. SaTML 2024: 358-386 - [i9]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. CoRR abs/2402.11237 (2024) - [i8]Canaan Yung, Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Round Trip Translation Defence against Large Language Model Jailbreaking Attacks. CoRR abs/2402.13517 (2024) - 2023
- [j2]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Adversarial Coreset Selection for Efficient Robust Training. Int. J. Comput. Vis. 131(12): 3307-3331 (2023) - [i7]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. CoRR abs/2303.08500 (2023) - 2022
- [b1]Hadi Mohaghegh Dolatabadi:
A Novel Perspective on Robustness in Deep Learning. University of Melbourne, Parkville, Victoria, Australia, 2022 - [c4]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
COLLIDER: A Robust Training Framework for Backdoor Data. ACCV (6) 2022: 681-698 - [c3]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
ℓ ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. ECCV (11) 2022: 467-483 - [i6]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Adversarial Coreset Selection for Efficient Robust Training. CoRR abs/2209.05785 (2022) - [i5]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
COLLIDER: A Robust Training Framework for Backdoor Data. CoRR abs/2210.06704 (2022) - 2021
- [i4]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
𝓁∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. CoRR abs/2112.00378 (2021) - 2020
- [c2]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Invertible Generative Modeling using Linear Rational Splines. AISTATS 2020: 4236-4246 - [c1]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. NeurIPS 2020 - [i3]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Invertible Generative Modeling using Linear Rational Splines. CoRR abs/2001.05168 (2020) - [i2]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Black-box Adversarial Example Generation with Normalizing Flows. CoRR abs/2007.02734 (2020) - [i1]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. CoRR abs/2007.07435 (2020)
2010 – 2019
- 2019
- [j1]Hadi Mohaghegh Dolatabadi, Arash Amini:
Deterministic Design of Toeplitz Matrices With Small Coherence Based on Weyl Sums. IEEE Signal Process. Lett. 26(10): 1501-1505 (2019)
Coauthor Index
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last updated on 2024-10-28 20:14 CET by the dblp team
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