| AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows HM Dolatabadi, S Erfani, C Leckie Advances in Neural Information Processing Systems 33, 2020 | 54 | 2020 |
| Invertible Generative Modeling using Linear Rational Splines HM Dolatabadi, S Erfani, C Leckie International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 | 44 | 2020 |
| ℓ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training HM Dolatabadi, S Erfani, C Leckie European Conference on Computer Vision (ECCV), 2022 | 12 | 2022 |
| The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models HM Dolatabadi, S Erfani, C Leckie IEEE Conference on Secure and Trustworthy Machine Learning (SatML), 2024 | 10 | 2024 |
| COLLIDER: A Robust Training Framework for Backdoor Data HM Dolatabadi, S Erfani, C Leckie Asian Conference on Computer Vision (ACCV), 2022 | 5 | 2022 |
| Black-box Adversarial Example Generation with Normalizing Flows HM Dolatabadi, S Erfani, C Leckie ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2020 | 4 | 2020 |
| A Sampling Theorem for Convex Shapes with Algebraic Boundaries HM Dolatabadi, A Amini 2017 International Conference on Sampling Theory and Applications (SampTA …, 2017 | 4 | 2017 |
| Adversarial Coreset Selection for Efficient Robust Training HM Dolatabadi, S Erfani, C Leckie International Journal of Computer Vision (IJCV), 2023 | 3 | 2023 |
| Deterministic Design of Toeplitz Matrices With Small Coherence Based on Weyl Sums HM Dolatabadi, A Amini IEEE Signal Processing Letters 26 (10), 1501-1505, 2019 | 3 | 2019 |
| Round Trip Translation Defence against Large Language Model Jailbreaking Attacks C Yung, HM Dolatabadi, S Erfani, C Leckie arXiv preprint arXiv:2402.13517, 2024 | | 2024 |
| Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning HM Dolatabadi, SM Erfani, C Leckie arXiv preprint arXiv:2402.11237, 2024 | | 2024 |
| A Novel Perspective on Robustness in Deep Learning HM Dolatabadi University of Melbourne, Parkville, Victoria, Australia, 2022 | | 2022 |
Sarah M. ErfaniAssociate Professor and DECRA Fellow, Computing and Information Systems, University of MelbourneAdresă de e-mail confirmată pe unimelb.edu.au
