Sayan Biswas - RankMe

39 papers A* 2C 2Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation. CoRR Sayan Biswas, Davide Frey, Romaric Gaudel, Nirupam Gupta, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani, Martijn de Vos
2025	A*	`conf`	Boosting Asynchronous Decentralized Learning with Model Fragmentation. WWW Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
2025	J	`jnl`	Comparing privacy notions for protection against reconstruction attacks in machine learning. CoRR Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi
2025	—	`conf`	Fair Decentralized Learning. SaTML Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos
2025	J	`jnl`	Low-Cost Privacy-Preserving Decentralized Learning. Proc. Priv. Enhancing Technol. Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani
2025	—	`conf`	Mitigating Membership Inference Vulnerability in Iterative Federated Clustering Algorithm. ARTMAN@CCS Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2025	J	`jnl`	Mitigating Membership Inference Vulnerability in Personalized Federated Learning. CoRR Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2025	J	`jnl`	Noiseless Privacy-Preserving Decentralized Learning. Proc. Priv. Enhancing Technol. Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
2025	J	`jnl`	Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption. CoRR Sayan Biswas, Philippe Chartier, Akash Balasaheb Dhasade, Tom Jurien, David Kerriou, Anne-Marie Kerrmarec, Mohammed Lemou, Franklin Tranie, Martijn de Vos, Milos Vujasinovic
2025	A*	`conf`	Robust ML Auditing using Prior Knowledge. ICML Jade Garcia Bourrée, Augustin Godinot, Sayan Biswas, Anne-Marie Kermarrec, Erwan Le Merrer, Gilles Trédan, Martijn de Vos, Milos Vujasinovic
2025	J	`jnl`	Robust ML Auditing using Prior Knowledge. CoRR Jade Garcia Bourrée, Augustin Godinot, Martijn de Vos, Milos Vujasinovic, Sayan Biswas, Gilles Trédan, Erwan Le Merrer, Anne-Marie Kermarrec
2024	J	`jnl`	Bayes' capacity as a measure for reconstruction attacks in federated learning. CoRR Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi
2024	J	`jnl`	Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes. CoRR Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
2024	J	`jnl`	Boosting Asynchronous Decentralized Learning with Model Fragmentation. CoRR Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos
2024	J	`jnl`	Distributed, communication-efficient, and differentially private estimation of KL divergence. CoRR Mary Scott, Sayan Biswas, Graham Cormode, Carsten Maple
2024	J	`jnl`	Fair Decentralized Learning. CoRR Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos
2024	J	`jnl`	Low-Cost Privacy-Aware Decentralized Learning. CoRR Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani
2024	J	`jnl`	PRIVIC: A privacy-preserving method for incremental collection of location data. Proc. Priv. Enhancing Technol. Sayan Biswas, Catuscia Palamidessi
2024	—	`conf`	SERGI: Similar Entity Retrieval using Grouped Images. eCom@SIGIR Akshit Sarpal, Raviteja Uppalapati, Sayan Biswas, Rajesh Narasimha Reddy, Samrat Kokkula
2024	J	`jnl`	Secure Aggregation Meets Sparsification in Decentralized Learning. CoRR Sayan Biswas, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic
2023	J	`jnl`	Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. CoRR Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
2023	J	`jnl`	Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. SN Comput. Sci. Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
2023	C	`conf`	Group Privacy for Personalized Federated Learning. ICISSP Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi
2023	—	`conf`	Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. FPS (1) Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2023	—	`—`	Understanding and optimizing the trade-off between privacy and utility from a foundational perspective. (Understanding and optimizing the trade-off between privacy and utility from a foundational perspective). Sayan Biswas
2022	J	`jnl`	A privacy preserving querying mechanism with high utility for electric vehicles. CoRR Ugur-Ilker Atmaca, Sayan Biswas, Carsten Maple, Catuscia Palamidessi
2022	J	`jnl`	Group privacy for personalized federated learning. CoRR Filippo Galli, Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi, Tommaso Cucinotta
2022	J	`jnl`	Impact of Sampling on Locally Differentially Private Data Collection. CoRR Sayan Biswas, Graham Cormode, Carsten Maple
2022	—	`conf`	Stock Price Prediction using Bidirectional LSTM with Attention. ICAIC Sayan Biswas
2022	J	`jnl`	Three-way optimization of privacy and utility of location data. CoRR Sayan Biswas, Catuscia Palamidessi
2022	J	`jnl`	Tight Differential Privacy Blanket for Shuffle Model. CoRR Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2022	J	`jnl`	Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. CoRR Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2021	C	`conf`	An Incentive Mechanism for Trading Personal Data in Data Markets. ICTAC Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2021	J	`jnl`	An Incentive Mechanism for Trading Personal Data in Data Markets. CoRR Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
2021	—	`conf`	Establishing the Price of Privacy in Federated Data Trading. Protocols, Strands, and Logic Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2021	J	`jnl`	Establishing the Price of Privacy in Federated Data Trading. CoRR Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
2017	J	`jnl`	Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music. CoRR Sayan Nag, Sayan Biswas, Sourya Sengupta, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh
2017	J	`jnl`	Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG. CoRR Shankha Sanyal, Archi Banerjee, Souparno Roy, Sourya Sengupta, Sayan Biswas, Sayan Nag, Ranjan Sengupta, Dipak Ghosh
2016	—	`conf`	Extraction of Network Information - Quality and Quantity - from Nodes of Neuronal Network. ICIT Sayan Biswas