Ghiasi, Amin

6 publications

ICCV 2025 Stable Diffusion Models Are Secretly Good at Visual In-Context Learning Trevine Oorloff, Vishwanath Sindagi, Wele Gedara Chaminda Bandara, Ali Shafahi, Amin Ghiasi, Charan Prakash, Reza Ardekani

NeurIPSW 2022 DP-InstaHide: Data Augmentations Provably Enhance Guarantees Against Dataset Manipulations Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam H Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein

ICML 2022 Plug-in Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi, Hamid Kazemi, Steven Reich, Chen Zhu, Micah Goldblum, Tom Goldstein

ICLR 2022 The Uncanny Similarity of Recurrence and Depth Avi Schwarzschild, Arjun Gupta, Amin Ghiasi, Micah Goldblum, Tom Goldstein

ICLR 2020 Adversarially Robust Transfer Learning Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David Jacobs, Tom Goldstein

ICLR 2020 Breaking Certified Defenses: Semantic Adversarial Examples with Spoofed Robustness Certificates Amin Ghiasi, Ali Shafahi, Tom Goldstein