Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. - Ali Shafahi; Amin Ghiasi; Mahyar Najibi; Furong Huang; John P. Dickerson; Tom Goldstein (BMVC, 2019)

Adversarial training for free! - Ali Shafahi; Mahyar Najibi; Amin Ghiasi; Zheng Xu 002; John P. Dickerson; Christoph Studer; Larry S. Davis; Gavin Taylor; Tom Goldstein (NeurIPS, 2019)

Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? - Ali Shafahi; Amin Ghiasi; Furong Huang; Tom Goldstein (CoRR, 2019)

Breaking Certified Defenses: Semantic Adversarial Examples with Spoofed robustness Certificates. - Amin Ghiasi; Ali Shafahi; Tom Goldstein (ICLR, 2020)

Adversarially robust transfer learning. - Ali Shafahi; Parsa Saadatpanah; Chen Zhu 001; Amin Ghiasi; Christoph Studer; David W. Jacobs; Tom Goldstein (ICLR, 2020)

Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer. - Chen Zhu 001; Zheng Xu 002; Ali Shafahi; Manli Shu; Amin Ghiasi; Tom Goldstein (CoRR, 2020)

Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. - Eitan Borgnia; Valeriia Cherepanova; Liam Fowl; Amin Ghiasi; Jonas Geiping; Micah Goldblum; Tom Goldstein; Arjun Gupta (ICASSP, 2021)

Approximate Competitive Equilibrium with Generic Budget. - Amin Ghiasi; Masoud Seddighin (SAGT, 2021)

DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations. - Eitan Borgnia; Jonas Geiping; Valeriia Cherepanova; Liam Fowl; Arjun Gupta; Amin Ghiasi; Furong Huang; Micah Goldblum; Tom Goldstein (CoRR, 2021)

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

Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations. - Amin Ghiasi; Hamid Kazemi; Steven Reich; Chen Zhu 001; Micah Goldblum; Tom Goldstein (ICML, 2022)

Adaptive Weight Decay: On The Fly Weight Decay Tuning for Improving Robustness. - Amin Ghiasi; Ali Shafahi; Reza Ardekani (CoRR, 2022)

What do Vision Transformers Learn? A Visual Exploration. - Amin Ghiasi; Hamid Kazemi; Eitan Borgnia; Steven Reich; Manli Shu; Micah Goldblum; Andrew Gordon Wilson; Tom Goldstein (CoRR, 2022)

Improving Robustness with Adaptive Weight Decay. - Amin Ghiasi; Ali Shafahi; Reza Ardekani (NeurIPS, 2023)

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 (CoRR, 2025)