Souvik Kundu
University of Southern California
H-index: 13
North America-United States
Top articles of Souvik Kundu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Linearizing Models for Efficient yet Robust Private Inference | arXiv preprint arXiv:2402.05521 | Sreetama Sarkar Souvik Kundu Peter A Beerel | 2024/2/8 |
Fusing Models with Complementary Expertise | arXiv preprint arXiv:2310.01542 | Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric Xing | 2023/10/2 |
Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient Language Model | Souvik Kundu Sharath Nittur Sridhar Maciej Szankin Sairam Sundaresan | 2024/4/14 | |
Analyzing Adversarial Vulnerabilities of Graph Lottery Tickets | Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo | 2024/4/14 | |
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models | arXiv preprint arXiv:2403.13269 | Zeyu Liu Souvik Kundu Anni Li Junrui Wan Lianghao Jiang | 2024/3/20 |
GEAR: An efficient KV cache compression recipefor near-lossless generative inference of llm | arXiv preprint arXiv:2403.05527 | Hao Kang Qingru Zhang Souvik Kundu Geonhwa Jeong Zaoxing Liu | 2024/3/8 |
ViTA: A Vision Transformer Inference Accelerator for Edge Applications | Shashank Nag Gourav Datta Souvik Kundu Nitin Chandrachoodan Peter A Beerel | 2023/5/21 | |
RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference | Dake Chen Yuke Zhang Souvik Kundu Chenghao Li Peter A Beerel | 2023/10/28 | |
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations | International Conference on Machine Learning (ICML) 2023 | Yonggan Fu Ye Yuan Souvik Kundu Shang Wu Shunyao Zhang | 2023/7 |
Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs | Souvik Kundu Sairam Sundaresan Sharath Nittur Sridhar Shunlin Lu Han Tang | 2023/6/4 | |
FireFly A Synthetic Dataset for Ember Detection in Wildfire | Yue Hu Xinan Ye Yifei Liu Souvik Kundu Gourav Datta | 2023 | |
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference | Souvik Kundu Yuke Zhang Dake Chen Peter A Beerel | 2023 | |
Development of a small cell lung cancer organoid model to study cellular interactions and survival after chemotherapy | Frontiers in Pharmacology | Chandani Sen Caroline Koloff Souvik Kundu Dan C Wilkinson Juliette Yang | 2023/8/7 |
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? | Transactions on Machine Learning Research | Sara Babakniya Souvik Kundu Saurav Prakash Yue Niu Salman Avestimehr | 2023/7/20 |
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets | arXiv preprint arXiv:2312.06568 | Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo | 2023/12/11 |
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference | Yuke Zhang Dake Chen Souvik Kundu Haomei Liu Ruiheng Peng | 2023/7/9 | |
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation | Yuke Zhang Dake Chen Souvik Kundu Chenghao Li Peter A Beerel | 2023 | |
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology | Souvik Kundu Rui-Jie Zhu Akhilesh Jaiswal Peter A Beerel | 2024/4/14 | |
Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients | Transactions on Machine Learning Research | Yue Niu* Saurav Prakash* Souvik Kundu Sunwoo Lee Salman Avestimehr (* = equal contribution) | 2023/10 |
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference | arXiv preprint arXiv:2301.09254 | Souvik Kundu Shunlin Lu Yuke Zhang Jacqueline Liu Peter A Beerel | 2023/1/23 |
Co-Authors
