Amin Ghiasi

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Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Ali ShafahiAppleVerified email at umd.edu
Micah GoldblumColumbia UniversityVerified email at columbia.edu
Christoph StuderAssociate Professor at the Dept. of Information Technology and Electrical Engineering, ETH ZurichVerified email at ethz.ch
Mahyar NajibiResearch Scientist, AppleVerified email at google.com
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AIVerified email at cs.umd.edu
Zheng XuGoogle ResearchVerified email at google.com
Eitan BorgniaPhD Student UChicagoVerified email at uchicago.edu
Arjun GuptaPerception Engineer at ZiplineVerified email at flyzipline.com
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Gavin TaylorUS Naval AcademyVerified email at usna.edu
Hamid KazemiApple Inc.Verified email at apple.com
Jonas GeipingELLIS Institute Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Liam FowlGoogleVerified email at google.com
Valeriia CherepanovaAmazonVerified email at amazon.com
Chen ZhuMetaVerified email at meta.com
Manli ShuUniversity of MarylandVerified email at umd.edu
Furong HuangAssociate Professor of Computer Science, University of MarylandVerified email at umd.edu
Steven ReichUniversity of MarylandVerified email at umd.edu
David W. JacobsProfessor of Computer Science, University of MarylandVerified email at umiacs.umd.edu

Amin Ghiasi

Apple 

Verified email at umd.edu

Deep Learning Optimization Machine Learning


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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	1555	2019
Adversarially robust transfer learning A Shafahi, P Saadatpanah, C Zhu, A Ghiasi, C Studer, D Jacobs, ... International Conference on Learning Representations (ICLR 2020), 2019	150	2019
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	137	2021
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates A Ghiasi, A Shafahi, T Goldstein International Conference on Learning Representations (ICLR 2020), 2020	77	2020
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	65*	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	50	2021
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	50*	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	11	2022
The uncanny similarity of recurrence and depth A Schwarzschild, A Gupta, A Ghiasi, M Goldblum, T Goldstein ICLR 2021 Conference, 2021	10	2021
Improving robustness with adaptive weight decay MA Ghiasi, A Shafahi, R Ardekani Advances in Neural Information Processing Systems 36, 2024	8*	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	3	2020
On the Efficiency and Equilibria of Rich Ads. MA Ghiasi, MT Hajiaghayi, S Lahaie, H Yami IJCAI, 301-307, 2019	3	2019
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	1	2021
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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