| 2025 | ACL | Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning. | Zheyuan Liu, Suraj Maharjan, Fanyou Wu, Rahil Parikh, Belhassen Bayar, Srinivasan H. Sengamedu, Meng Jiang |
| 2023 | ACL | Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. | Mustafa zdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta |
| 2023 | WSDM | Privacy in the Time of Language Models. | Charith Peris, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard S. Zemel, Rahul Gupta |
| 2022 | ACL | Canary Extraction in Natural Language Understanding Models. | Rahil Parikh, Christophe Dupuy, Rahul Gupta |
| 2022 | ICASSP | Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems. | Rahil Parikh, Ilya Kavalerov, Carol Y. Espy-Wilson, Shihab A. Shamma |
| 2022 | Interspeech | An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models. | Rahil Parikh, Gaspar Rochette, Carol Y. Espy-Wilson, Shihab A. Shamma |
| 2022 | Interspeech | Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals. | Rahil Parikh, Nadee Seneviratne, Ganesh Sivaraman, Shihab A. Shamma, Carol Y. Espy-Wilson |
| 2022 | Interspeech | Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework. | Rahil Parikh, Harshavardhan Sundar, Ming Sun, Chao Wang, Spyros Matsoukas |