Text2Concept: Concept Activation Vectors Directly from Text. - Mazda Moayeri; Keivan Rezaei; Maziar Sanjabi; Soheil Feizi (CVPR Workshops, 2023)

Text-To-Concept (and Back) via Cross-Model Alignment. - Mazda Moayeri; Keivan Rezaei; Maziar Sanjabi; Soheil Feizi (ICML, 2023)

Run-off Election: Improved Provable Defense against Data Poisoning Attacks. - Keivan Rezaei; Kiarash Banihashem; Atoosa Malemir Chegini; Soheil Feizi (ICML, 2023)

Delegating to Multiple Agents. - Suho Shin 001; Keivan Rezaei; MohammadTaghi Hajiaghayi (EC, 2023)

Online Advertisements with LLMs: Opportunities and Challenges. - Soheil Feizi; MohammadTaghi Hajiaghayi; Keivan Rezaei; Suho Shin 001 (CoRR, 2023)

Regret Analysis of Repeated Delegated Choice. - Mohammad Hajiaghayi; Mohammad Mahdavi; Keivan Rezaei; Suho Shin 001 (AAAI, 2024)

PRIME: Prioritizing Interpretability in Failure Mode Extraction. - Keivan Rezaei; Mehrdad Saberi; Mazda Moayeri; Soheil Feizi (ICLR, 2024)

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. - Mehrdad Saberi; Vinu Sankar Sadasivan; Keivan Rezaei; Aounon Kumar; Atoosa Malemir Chegini; Wenxiao Wang 002; Soheil Feizi (ICLR, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Vlad I. Morariu; Nanxuan Zhao; Ryan A. Rossi; Varun Manjunatha; Soheil Feizi (ICML, 2024)

Ad Auctions for LLMs via Retrieval Augmented Generation. - MohammadTaghi Hajiaghayi; Sébastien Lahaie; Keivan Rezaei; Suho Shin 001 (NeurIPS, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Ryan A. Rossi; Cherry Zhao; Vlad I. Morariu; Varun Manjunatha; Soheil Feizi (CoRR, 2024)

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models. - Arman Zarei; Keivan Rezaei; Samyadeep Basu; Mehrdad Saberi; Mazda Moayeri; Priyatham Kattakinda; Soheil Feizi (CoRR, 2024)

RESTOR: Knowledge Recovery through Machine Unlearning. - Keivan Rezaei; Khyathi Raghavi Chandu; Soheil Feizi; Yejin Choi 001; Faeze Brahman; Abhilasha Ravichander (CoRR, 2024)

RePanda: Pandas-powered Tabular Verification and Reasoning. - Atoosa Malemir Chegini; Keivan Rezaei; Hamid Eghbalzadeh; Soheil Feizi (ACL (1), 2025)

Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. - Arman Zarei; Keivan Rezaei; Samyadeep Basu; Mehrdad Saberi; Mazda Moayeri; Priyatham Kattakinda; Adrienne Raglin; Anjon Basak; Soheil Feizi (PerCom Workshops, 2025)

RESTOR: Knowledge Recovery in Machine Unlearning. - Keivan Rezaei; Khyathi Raghavi Chandu; Soheil Feizi; Yejin Choi 001; Faeze Brahman; Abhilasha Ravichander (Trans. Mach. Learn. Res., 2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. - Zihao Lin 003; Samyadeep Basu; Mohammad Beigi; Varun Manjunatha; Ryan A. Rossi; Zichao Wang 001; Yufan Zhou 001; Sriram Balasubramanian; Arman Zarei; Keivan Rezaei; Ying Shen 006; Barry Menglong Yao; et al. (CoRR, 2025)

Localizing Knowledge in Diffusion Transformers. - Arman Zarei; Samyadeep Basu; Keivan Rezaei; Zihao Lin 003; Sayan Nag; Soheil Feizi (CoRR, 2025)

Model State Arithmetic for Machine Unlearning. - Keivan Rezaei; Mehrdad Saberi; Abhilasha Ravichander; Soheil Feizi (CoRR, 2025)