Shafahi, Ali

9 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

NeurIPS 2023 Improving Robustness with Adaptive Weight Decay Mohammad Amin Ghiasi, Ali Shafahi, Reza Ardekani

ICML 2020 Adversarial Attacks on Copyright Detection Systems Parsa Saadatpanah, Ali Shafahi, 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

AAAI 2020 Universal Adversarial Training Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein

NeurIPS 2019 Adversarial Training for Free! Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein

ICLR 2019 Are Adversarial Examples Inevitable? Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein

NeurIPS 2018 Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein