Rezaei, Keivan

10 publications

NeurIPS 2025 Localizing Knowledge in Diffusion Transformers Arman Zarei, Samyadeep Basu, Keivan Rezaei, Zihao Lin, Sayan Nag, Soheil Feizi

TMLR 2025 RESTOR: Knowledge Recovery in Machine Unlearning Keivan Rezaei, Khyathi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander

NeurIPS 2024 Ad Auctions for LLMs via Retrieval Augmented Generation MohammadTaghi Hajiaghayi, Sébastien Lahaie, Keivan Rezaei, Suho Shin

ICML 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

ICLR 2024 PRIME: Prioritizing Interpretability in Failure Mode Extraction Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi

AAAI 2024 Regret Analysis of Repeated Delegated Choice Mohammad Hajiaghayi, Mohammad Mahdavi, Keivan Rezaei, Suho Shin

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

ICML 2023 Run-Off Election: Improved Provable Defense Against Data Poisoning Attacks Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini, Soheil Feizi

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

CVPRW 2023 Text2Concept: Concept Activation Vectors Directly from Text Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi