Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers. - Minh Pham 005; Zeqian Li; Jacob Whitehill (ICASSP, 2020)

How Does Label Noise Affect the Quality of Speaker Embeddings? - Minh Pham 005; Zeqian Li; Jacob Whitehill (INTERSPEECH, 2020)

Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning. - Anand Ramakrishnan; Minh Pham 005; Jacob Whitehill (CoRR, 2021)

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. - Ameya Joshi; Minh Pham 005; Minsu Cho; Leonid Boytsov; Filipe Condessa; J. Zico Kolter; Chinmay Hegde (CoRR, 2022)

Revisiting Self-Distillation. - Minh Pham 005; Minsu Cho; Ameya Joshi; Chinmay Hegde (CoRR, 2022)

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. - Kelly O. Marshall; Minh Pham 005; Ameya Joshi; Anushrut Jignasu; Aditya Balu; Adarsh Krishnamurthy; Chinmay Hegde (CoRR, 2023)

Circumventing Concept Erasure Methods For Text-to-Image Generative Models. - Minh Pham 005; Kelly O. Marshall; Chinmay Hegde (CoRR, 2023)

Distributionally Robust Classification on a Data Budget. - Benjamin Feuer; Ameya Joshi; Minh Pham 005; Chinmay Hegde (Trans. Mach. Learn. Res., 2023)

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. - Nastaran Saadati; Minh Pham 005; Nasla Saleem; Joshua R. Waite; Aditya Balu; Zhanhong Jiang; Chinmay Hegde; Soumik Sarkar (CVPR, 2024)

Circumventing Concept Erasure Methods For Text-To-Image Generative Models. - Minh Pham 005; Kelly O. Marshall; Niv Cohen; Govind Mittal; Chinmay Hegde (ICLR, 2024)

Robust Concept Erasure Using Task Vectors. - Minh Pham 005; Kelly O. Marshall; Chinmay Hegde; Niv Cohen (CoRR, 2024)

SolidMark: Evaluating Image Memorization in Generative Models. - Nicky Kriplani; Minh Pham 005; Gowthami Somepalli; Chinmay Hegde; Niv Cohen (CoRR, 2025)

When Are Concepts Erased From Diffusion Models? - Kevin Lu; Nicky Kriplani; Rohit Gandikota; Minh Pham 005; David Bau; Chinmay Hegde; Niv Cohen (CoRR, 2025)