| 2025 | EMNLP | DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors. | Yize Cheng, Wenxiao Wang, Mazda Moayeri, Soheil Feizi |
| 2025 | ICLR | Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models. | Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi |
| 2025 | ICLR | Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. | Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet |
| 2025 | PERCOM | 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 |
| 2024 | ICLR | PRIME: Prioritizing Interpretability in Failure Mode Extraction. | Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi |
| 2024 | WACV | Data-Centric Debugging: mitigating model failures via targeted image retrieval. | Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi |
| 2023 | CVPR | Text2Concept: Concept Activation Vectors Directly from Text. | Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi |
| 2023 | ICML | Text-To-Concept (and Back) via Cross-Model Alignment. | Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi |
| 2022 | CVPR | A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. | Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi |
| 2021 | ICCV | Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. | Mazda Moayeri, Soheil Feizi |