A Linearization Approach for Project Selection with Interdependencies in Resource Costs . - Ali Shafahi; Ali Haghani (ICORES, 2013)

A Stochastic Emergency Response Location Model Considering Secondary Incidents on Freeways. - Hyoshin Park; Ali Shafahi; Ali Haghani (IEEE Trans. Intell. Transp. Syst., 2016)

Understanding and Visualizing the District of Columbia Capital Bikeshare System Using Data Analysis for Balancing Purposes. - Kiana Roshan Zamir; Ali Shafahi; Ali Haghani (CoRR, 2017)

School bus routing by maximizing trip compatibility. - Ali Shafahi; Zhongxiang Wang; Ali Haghani (CoRR, 2017)

An iterative school decomposition algorithm for solving the multi-school bus routing and scheduling problem. - Zhongxiang Wang; Ali Shafahi; Ali Haghani (CoRR, 2017)

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 (NeurIPS, 2018)

A matching-based heuristic algorithm for school bus routing problems. - Ali Shafahi; Zhongxiang Wang; Ali Haghani (CoRR, 2018)

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)

Are adversarial examples inevitable? - Ali Shafahi; W. Ronny Huang; Christoph Studer; Soheil Feizi; Tom Goldstein (ICLR (Poster), 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)

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. - Chen Zhu 001; W. Ronny Huang; Ali Shafahi; Hengduo Li; Gavin Taylor; Christoph Studer; Tom Goldstein (CoRR, 2019)

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

Universal Adversarial Training. - Ali Shafahi; Mahyar Najibi; Zheng Xu 002; John P. Dickerson; Larry S. Davis; Tom Goldstein (AAAI, 2020)

Witchcraft: Efficient PGD Attacks with Random Step Size. - Ping-Yeh Chiang; Jonas Geiping; Micah Goldblum; Tom Goldstein; Renkun Ni; Steven Reich; Ali Shafahi (ICASSP, 2020)

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)

Adversarial Attacks on Copyright Detection Systems. - Parsa Saadatpanah; Ali Shafahi; Tom Goldstein (ICML, 2020)

Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training. - Zheng Xu 002; Ali Shafahi; Tom Goldstein (CoRR, 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)

Adversarial Vulnerabilities of Deep Networks and Affordable Robustness. - Ali Shafahi (2020)

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