Sayan Biswas

According to our database, Sayan Biswas authored at least 28 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robust ML Auditing using Prior Knowledge.

Jade Garcia Bourrée, Augustin Godinot, Martijn de Vos, Milos Vujasinovic, Sayan Biswas, Gilles Trédan, Erwan Le Merrer, Anne-Marie Kermarrec

CoRR, May, 2025

Mitigating Membership Inference Vulnerability in Personalized Federated Learning.

Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi

CoRR, March, 2025

Comparing privacy notions for protection against reconstruction attacks in machine learning.

Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi

CoRR, February, 2025

Low-Cost Privacy-Preserving Decentralized Learning.

Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani

Proc. Priv. Enhancing Technol., 2025

Noiseless Privacy-Preserving Decentralized Learning.

Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos

Proc. Priv. Enhancing Technol., 2025

Boosting Asynchronous Decentralized Learning with Model Fragmentation.

Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos

Proceedings of the ACM on Web Conference 2025, 2025

Fair Decentralized Learning.

Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

PRIVIC: A privacy-preserving method for incremental collection of location data.

Sayan Biswas, Catuscia Palamidessi

Proc. Priv. Enhancing Technol., January, 2024

Distributed, communication-efficient, and differentially private estimation of KL divergence.

Mary Scott, Sayan Biswas, Graham Cormode, Carsten Maple

CoRR, 2024

Bayes' capacity as a measure for reconstruction attacks in federated learning.

Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi

CoRR, 2024

Secure Aggregation Meets Sparsification in Decentralized Learning.

Sayan Biswas, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic

CoRR, 2024

Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes.

Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos

CoRR, 2024

Low-Cost Privacy-Aware Decentralized Learning.

Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani

CoRR, 2024

SERGI: Similar Entity Retrieval using Grouped Images.

Akshit Sarpal, Raviteja Uppalapati, Sayan Biswas, Rajesh Narasimha Reddy, Samrat Kokkula

Proceedings of the ACM SIGIR Workshop on eCommerce 2024 co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

2023

Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond.

Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta

SN Comput. Sci., November, 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

PhD thesis, 2023

Group Privacy for Personalized Federated Learning.

Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response.

Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi

Proceedings of the Foundations and Practice of Security - 16th International Symposium, 2023

2022

Three-way optimization of privacy and utility of location data.

Sayan Biswas, Catuscia Palamidessi

CoRR, 2022

A privacy preserving querying mechanism with high utility for electric vehicles.

Ugur-Ilker Atmaca, Sayan Biswas, Carsten Maple, Catuscia Palamidessi

CoRR, 2022

Impact of Sampling on Locally Differentially Private Data Collection.

Sayan Biswas, Graham Cormode, Carsten Maple

CoRR, 2022

Tight Differential Privacy Blanket for Shuffle Model.

Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi

CoRR, 2022

Stock Price Prediction using Bidirectional LSTM with Attention.

Sayan Biswas

Proceedings of the 1st International Conference on AI in Cybersecurity, 2022

2021

An Incentive Mechanism for Trading Personal Data in Data Markets.

Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi

Proceedings of the Theoretical Aspects of Computing - ICTAC 2021, 2021

Establishing the Price of Privacy in Federated Data Trading.

Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi

Proceedings of the Protocols, Strands, and Logic, 2021

2017

Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG.

Shankha Sanyal, Archi Banerjee, Souparno Roy, Sourya Sengupta, Sayan Biswas, Sayan Nag, Ranjan Sengupta, Dipak Ghosh

CoRR, 2017

Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music.

Sayan Nag, Sayan Biswas, Sourya Sengupta, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh

CoRR, 2017

2016

Extraction of Network Information - Quality and Quantity - from Nodes of Neuronal Network.

Sayan Biswas

Proceedings of the 2016 International Conference on Information Technology, 2016