Amin Ghiasi - RankMe

20 papers A* 6A 1B 1Misc 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Stable Diffusion Models are Secretly Good at Visual In-Context Learning. CoRR Trevine Oorloff, Vishwanath Sindagi, Wele Gedara Chaminda Bandara, Ali Shafahi, Amin Ghiasi, Charan Prakash, Reza Ardekani
2023	A*	`conf`	Improving Robustness with Adaptive Weight Decay. NeurIPS Amin Ghiasi, Ali Shafahi, Reza Ardekani
2022	J	`jnl`	Adaptive Weight Decay: On The Fly Weight Decay Tuning for Improving Robustness. CoRR Amin Ghiasi, Ali Shafahi, Reza Ardekani
2022	A*	`conf`	Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations. ICML Amin Ghiasi, Hamid Kazemi, Steven Reich, Chen Zhu, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations. CoRR Amin Ghiasi, Hamid Kazemi, Steven Reich, Chen Zhu, Micah Goldblum, Tom Goldstein
2022	A*	`conf`	The Uncanny Similarity of Recurrence and Depth. ICLR Avi Schwarzschild, Arjun Gupta, Amin Ghiasi, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	What do Vision Transformers Learn? A Visual Exploration. CoRR Amin Ghiasi, Hamid Kazemi, Eitan Borgnia, Steven Reich, Manli Shu, Micah Goldblum, Andrew Gordon Wilson, Tom Goldstein
2021	B	`conf`	Approximate Competitive Equilibrium with Generic Budget. SAGT Amin Ghiasi, Masoud Seddighin
2021	J	`jnl`	DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations. CoRR Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein
2021	Misc	`conf`	Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. ICASSP Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta
2020	A*	`conf`	Adversarially robust transfer learning. ICLR Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein
2020	A*	`conf`	Breaking Certified Defenses: Semantic Adversarial Examples with Spoofed robustness Certificates. ICLR Amin Ghiasi, Ali Shafahi, Tom Goldstein
2020	J	`jnl`	Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates. CoRR Amin Ghiasi, Ali Shafahi, Tom Goldstein
2020	J	`jnl`	Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. CoRR Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta
2020	J	`jnl`	Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer. CoRR Chen Zhu, Zheng Xu, Ali Shafahi, Manli Shu, Amin Ghiasi, Tom Goldstein
2019	J	`jnl`	Adversarial Training for Free! CoRR Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
2019	A*	`conf`	Adversarial training for free! NeurIPS Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
2019	J	`jnl`	Adversarially robust transfer learning. CoRR Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein
2019	A	`conf`	Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. BMVC Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein
2019	J	`jnl`	Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? CoRR Ali Shafahi, Amin Ghiasi, Furong Huang, Tom Goldstein