Sayan Biswas

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Stock Price Prediction

Adaptive Learning

Privacy Preserving

Top Venues

Publications

Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi
Bayes' capacity as a measure for reconstruction attacks in federated learning. CoRR (2024)
Sayan Biswas, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic
Secure Aggregation Meets Sparsification in Decentralized Learning. CoRR (2024)
Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes. CoRR (2024)
Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani
Low-Cost Privacy-Aware Decentralized Learning. CoRR (2024)
Sayan Biswas, Catuscia Palamidessi
PRIVIC: A privacy-preserving method for incremental collection of location data. Proc. Priv. Enhancing Technol. 2024 (1) (2024)
Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi
Group Privacy for Personalized Federated Learning. ICISSP (2023)
Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. SN Comput. Sci. 4 (6) (2023)
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. FPS (1) (2023)
Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. CoRR (2023)
Sayan Biswas, Graham Cormode, Carsten Maple
Impact of Sampling on Locally Differentially Private Data Collection. CoRR (2022)
Ugur-Ilker Atmaca, Sayan Biswas, Carsten Maple, Catuscia Palamidessi
A privacy preserving querying mechanism with high utility for electric vehicles. CoRR (2022)
Filippo Galli, Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi, Tommaso Cucinotta
Group privacy for personalized federated learning. CoRR (2022)
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. CoRR (2022)
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Tight Differential Privacy Blanket for Shuffle Model. CoRR (2022)
Sayan Biswas, Catuscia Palamidessi
Three-way optimization of privacy and utility of location data. CoRR (2022)
Sayan Biswas
Stock Price Prediction using Bidirectional LSTM with Attention. ICAIC (2022)
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
An Incentive Mechanism for Trading Personal Data in Data Markets. CoRR (2021)
Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
Establishing the Price of Privacy in Federated Data Trading. Protocols, Strands, and Logic (2021)
Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
Establishing the Price of Privacy in Federated Data Trading. CoRR (2021)
Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
An Incentive Mechanism for Trading Personal Data in Data Markets. ICTAC (2021)
Shankha Sanyal, Archi Banerjee, Souparno Roy, Sourya Sengupta, Sayan Biswas, Sayan Nag, Ranjan Sengupta, Dipak Ghosh
Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG. CoRR (2017)
Sayan Nag, Sayan Biswas, Sourya Sengupta, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music. CoRR (2017)
Sayan Biswas
Extraction of Network Information - Quality and Quantity - from Nodes of Neuronal Network. ICIT (2016)