Joshi, Ameya

9 publications

TMLR 2025 A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection Leonid Boytsov, Ameya Joshi, Filipe Condessa

TMLR 2024 PriViT: Vision Transformers for Private Inference Naren Dhyani, Jianqiao Cambridge Mo, Patrick Yubeaton, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde

TMLR 2023 Distributionally Robust Classification on a Data Budget Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde

ICML 2022 Selective Network Linearization for Efficient Private Inference Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde

ICMLW 2021 Adversarially Robust Learning via Entropic Regularization Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde

NeurIPS 2021 Differentiable Spline Approximations Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde

NeurIPSW 2020 Differentiable Programming for Piecewise Polynomial Functions Minsu Cho, Ameya Joshi, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Soumik Sarkar, Chinmay Hegde

AAAI 2020 InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CVPRW 2019 Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde