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Amin Ghiasi
Amin Ghiasi
Apple 
Email confirmado em umd.edu
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Adversarial Training for Free!
A Shafahi, M Najibi, A Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ...
Advances in Neural Information Processing Systems (NeurIPS), 2019
16292019
Adversarially robust transfer learning
A Shafahi, P Saadatpanah, C Zhu, A Ghiasi, C Studer, D Jacobs, ...
International Conference on Learning Representations (ICLR 2020), 2019
1562019
Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff
E Borgnia, V Cherepanova, L Fowl, A Ghiasi, J Geiping, M Goldblum, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
1442021
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates
A Ghiasi, A Shafahi, T Goldstein
International Conference on Learning Representations (ICLR 2020), 2020
822020
What do vision transformers learn? a visual exploration
A Ghiasi, H Kazemi, E Borgnia, S Reich, M Shu, M Goldblum, AG Wilson, ...
arXiv preprint arXiv:2212.06727, 2022
74*2022
DP-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations
E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ...
ICLR 2021 Workshop on Security and Safety in Machine Learning Systems:, 2021
552021
Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing
A Shafahi, A Ghiasi, M Najibi, F Huang, J Dickerson, T Goldstein
BMVC 2019, 2019
52*2019
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
A Ghiasi, H Kazemi, S Reich, C Zhu, M Goldblum, T Goldstein
ICML 2022, arXiv: 2201.12961, 2022
112022
The uncanny similarity of recurrence and depth
A Schwarzschild, A Gupta, A Ghiasi, M Goldblum, T Goldstein
ICLR 2021 Conference, 2021
102021
Improving robustness with adaptive weight decay
MA Ghiasi, A Shafahi, R Ardekani
Advances in Neural Information Processing Systems 36, 2024
7*2024
Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer
C Zhu, Z Xu, A Shafahi, M Shu, A Ghiasi, T Goldstein
Sparsity in Neural Networks: Advancing Understanding and Practice (SNN 2021), 2020
32020
On the Efficiency and Equilibria of Rich Ads.
MA Ghiasi, MT Hajiaghayi, S Lahaie, H Yami
IJCAI, 301-307, 2019
32019
Feature Sonification: An investigation on the features learned for Automatic Speech Recognition 2021
A Ghiasi, H Kazemi, R Huang, E Liu, M Goldblum, T Goldstein
2
Approximate competitive equilibrium with generic budget
A Ghiasi, M Seddighin
International Symposium on Algorithmic Game Theory, 236-250, 2021
12021
Robustness and Understandability of Deep Models
A Ghiasi
University of Maryland, College Park, 2022
2022
Self-Paced Augmentations (SPAug) for Improving Model Robustness
WGC Bandara, A Ghiasi, S Vishwanath, A Shafahi, R Ardekani
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