Vaikkunth Mugunthan

26 papers A* 2A 1B 1C 1Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges. ICLR Francisco Eiras, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan
2025	J	`jnl`	Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges. CoRR Francisco Eiras, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan
2025	J	`jnl`	Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs. CoRR Blazej Manczak, Eric Lin, Francisco Eiras, James O' Neill, Vaikkunth Mugunthan
2025	J	`jnl`	Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing. CoRR James O' Neill, Santhosh Subramanian, Eric Lin, Vaikkunth Mugunthan
2024	J	`jnl`	PrimeGuard: Safe and Helpful LLMs through Tuning-Free Routing. CoRR Blazej Manczak, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan
2023	J	`jnl`	Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information? CoRR Albert Yu Sun, Eliott Zemour, Arushi Saxena, Udith Vaidyanathan, Eric Lin, Christian Lau, Vaikkunth Mugunthan
2023	J	`jnl`	Gradient Masked Averaging for Federated Learning. Trans. Mach. Learn. Res. Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Irina Rish, Eugene Belilovsky
2023	J	`jnl`	Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection. CoRR Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
2023	A*	`conf`	Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection. NeurIPS Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
2022	—	`—`	A Practical Approach to Federated Learning Vaikkunth Mugunthan
2022	—	`conf`	Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. ICAIF David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Balch
2022	J	`jnl`	Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. CoRR David Byrd, Vaikkunth Mugunthan, Antigoni Polychroniadou, Tucker Hybinette Balch
2022	—	`conf`	FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks. ECCV (12) Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal, Steven D. Pieper
2022	J	`jnl`	Gradient Masked Averaging for Federated Learning. CoRR Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, Irina Rish
2022	B	`conf`	Overcoming Challenges of Synthetic Data Generation. IEEE Big Data Kevin Fang, Vaikkunth Mugunthan, Vayd Ramkumar, Lalana Kagal
2021	J	`jnl`	Bias-Free FedGAN. CoRR Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
2021	—	`conf`	BlockFLow: Decentralized, Privacy-Preserving, and Accountable Federated Machine Learning. BLOCKCHAIN Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal
2021	—	`conf`	DPD-InfoGAN: Differentially Private Distributed InfoGAN. EuroMLSys@EuroSys Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
2021	J	`jnl`	Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners. CoRR Vaikkunth Mugunthan, Pawan Goyal, Lalana Kagal
2021	J	`jnl`	Prior-Free Auctions for the Demand Side of Federated Learning. CoRR Andreas Haupt, Vaikkunth Mugunthan
2020	J	`jnl`	BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning. CoRR Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal
2020	J	`jnl`	DPD-InfoGAN: Differentially Private Distributed InfoGAN. CoRR Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov
2020	A	`conf`	PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning. CIKM Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal
2020	J	`jnl`	PrivacyFL: A simulator for privacy-preserving and secure federated learning. CoRR Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal
2020	C	`conf`	Utility-Enhancing Flexible Mechanisms for Differential Privacy. PSD Vaikkunth Mugunthan, Wanyi Xiao, Lalana Kagal
2017	—	`conf`	Shade: A differentially-private wrapper for enterprise big data. IEEE BigData Alexander Heifetz, Vaikkunth Mugunthan, Lalana Kagal