Vaikkunth Mugunthan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Object Detection

Differential Privacy

Data Generation

Top Venues

Publications

Blazej Manczak, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan
PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing. CoRR (2024)
Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Irina Rish, Eugene Belilovsky
Gradient Masked Averaging for Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection. NeurIPS (2023)
Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection. CoRR (2023)
Albert Yu Sun, Eliott Zemour, Arushi Saxena, Udith Vaidyanathan, Eric Lin, Christian Lau, Vaikkunth Mugunthan
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? CoRR (2023)
Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, Irina Rish
Gradient Masked Averaging for Federated Learning. CoRR (2022)
Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal, Steven D. Pieper
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks. ECCV (12) (2022)
David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Balch
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. ICAIF (2022)
David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Hybinette Balch
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. CoRR (2022)
Kevin Fang, Vaikkunth Mugunthan, Vayd Ramkumar, Lalana Kagal
Overcoming Challenges of Synthetic Data Generation. Big Data (2022)
Vaikkunth Mugunthan, Pawan Goyal, Lalana Kagal
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners. CoRR (2021)
Andreas Haupt, Vaikkunth Mugunthan
Prior-Free Auctions for the Demand Side of Federated Learning. CoRR (2021)
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
Bias-Free FedGAN. CoRR (2021)
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
DPD-InfoGAN: Differentially Private Distributed InfoGAN. EuroMLSys@EuroSys (2021)
Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal
BlockFLow: Decentralized, Privacy-Preserving, and Accountable Federated Machine Learning. BLOCKCHAIN (2021)
Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal
PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning. CIKM (2020)
Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning. CoRR (2020)
Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal
PrivacyFL: A simulator for privacy-preserving and secure federated learning. CoRR (2020)
Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
DPD-InfoGAN: Differentially Private Distributed InfoGAN. CoRR (2020)
Vaikkunth Mugunthan, Wanyi Xiao, Lalana Kagal
Utility-Enhancing Flexible Mechanisms for Differential Privacy. PSD (2020)
Alexander Heifetz, Vaikkunth Mugunthan, Lalana Kagal
Shade: A differentially-private wrapper for enterprise big data. IEEE BigData (2017)