Saved in:
| Main Authors: | Pal, Debranjan, Chandratreya, Vishal Pankaj, Das, Abhijit, Chowdhury, Dipanwita Roy |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.00441 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing the MILP/MIQCP-based Automatic Search for Differential-Linear Distinguishers of Simon-Like Ciphers
by: Chen, Siwei, et al.
Published: (2024)
by: Chen, Siwei, et al.
Published: (2024)
EnThM: Energy Theft Mitigation in Smart Grids using Hierarchical Verification of Metering Data
by: Banerjee, Tapadyoti, et al.
Published: (2026)
by: Banerjee, Tapadyoti, et al.
Published: (2026)
Analyzing Linear Layers in Related-Differential Cryptanalysis
by: Kumar, Yogesh, et al.
Published: (2026)
by: Kumar, Yogesh, et al.
Published: (2026)
Robustness of Locally Differentially Private Graph Analysis Against Poisoning
by: Imola, Jacob, et al.
Published: (2022)
by: Imola, Jacob, et al.
Published: (2022)
Metric Differential Privacy at the User-Level Via the Earth Mover's Distance
by: Imola, Jacob, et al.
Published: (2024)
by: Imola, Jacob, et al.
Published: (2024)
Advances in Differential Privacy and Differentially Private Machine Learning
by: Das, Saswat, et al.
Published: (2024)
by: Das, Saswat, et al.
Published: (2024)
Local Layer-wise Differential Privacy in Federated Learning
by: Li, Yunbo, et al.
Published: (2026)
by: Li, Yunbo, et al.
Published: (2026)
Scarcity Is Not Enough: An Impossibility Result for Linear Sybil Cost Under Parallelizable Resources
by: Maleki, Homayoun, et al.
Published: (2026)
by: Maleki, Homayoun, et al.
Published: (2026)
Towards the Impossibility of Non-Signalling Privacy Amplification from Time-Like Ordering Constraints
by: Arnon, Rotem, et al.
Published: (2012)
by: Arnon, Rotem, et al.
Published: (2012)
Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory
by: Liu, Jianqing, et al.
Published: (2024)
by: Liu, Jianqing, et al.
Published: (2024)
Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy
by: Ryu, Sehyun, et al.
Published: (2024)
by: Ryu, Sehyun, et al.
Published: (2024)
A Novel Approach to Differential Privacy with Alpha Divergence
by: Liu, Yifeng, et al.
Published: (2025)
by: Liu, Yifeng, et al.
Published: (2025)
Multilevel Verification on a Single Digital Decentralized Distributed (DDD) Ledger
by: Thada, Ayush, et al.
Published: (2024)
by: Thada, Ayush, et al.
Published: (2024)
Differentially Private Multi-objective Selection: Pareto and Aggregation Approaches
by: Farias, Victor A. E., et al.
Published: (2024)
by: Farias, Victor A. E., et al.
Published: (2024)
Private Linear Regression with Differential Privacy and PAC Privacy
by: Yang, Hillary, et al.
Published: (2024)
by: Yang, Hillary, et al.
Published: (2024)
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
by: Sarathy, Jayshree, et al.
Published: (2022)
by: Sarathy, Jayshree, et al.
Published: (2022)
Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
by: Riess, Anneliese, et al.
Published: (2026)
by: Riess, Anneliese, et al.
Published: (2026)
Towards A Hybrid Quantum Differential Privacy
by: Song, Baobao, et al.
Published: (2025)
by: Song, Baobao, et al.
Published: (2025)
Differentially Private Sparse Linear Regression with Heavy-tailed Responses
by: Tian, Xizhi, et al.
Published: (2025)
by: Tian, Xizhi, et al.
Published: (2025)
Differentially Private Linear Optimization for Multi-Party Resource Sharing
by: Karaca, Utku, et al.
Published: (2021)
by: Karaca, Utku, et al.
Published: (2021)
Concave is the New Linear: The Impossibility of Anti-Plutocratic DAO Governance
by: Bennett, Austin, et al.
Published: (2026)
by: Bennett, Austin, et al.
Published: (2026)
Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments
by: Singh, Bikash Chandra, et al.
Published: (2025)
by: Singh, Bikash Chandra, et al.
Published: (2025)
Verifiable Differential Privacy
by: Biswas, Ari, et al.
Published: (2022)
by: Biswas, Ari, et al.
Published: (2022)
Emission Impossible: privacy-preserving carbon emissions claims
by: Man, Jessica, et al.
Published: (2025)
by: Man, Jessica, et al.
Published: (2025)
Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities
by: Tas, Ertem Nusret, et al.
Published: (2022)
by: Tas, Ertem Nusret, et al.
Published: (2022)
Differentially Private Optimization for Non-Decomposable Objective Functions
by: Kong, Weiwei, et al.
Published: (2023)
by: Kong, Weiwei, et al.
Published: (2023)
Differentially Private Ad Conversion Measurement
by: Delaney, John, et al.
Published: (2024)
by: Delaney, John, et al.
Published: (2024)
Understanding Malware Propagation Dynamics through Scientific Machine Learning
by: Pappu, Karthik, et al.
Published: (2025)
by: Pappu, Karthik, et al.
Published: (2025)
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
by: Zhou, Yvonne, et al.
Published: (2024)
by: Zhou, Yvonne, et al.
Published: (2024)
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
by: Redberg, Rachel, et al.
Published: (2023)
by: Redberg, Rachel, et al.
Published: (2023)
Impossibility of Quantum Private Queries
by: Hänggi, Esther, et al.
Published: (2025)
by: Hänggi, Esther, et al.
Published: (2025)
Verified Foundations for Differential Privacy
by: de Medeiros, Markus, et al.
Published: (2024)
by: de Medeiros, Markus, et al.
Published: (2024)
Practical Considerations for Differential Privacy
by: Amin, Kareem, et al.
Published: (2024)
by: Amin, Kareem, et al.
Published: (2024)
Differential Privacy Made Easy
by: Aitsam, Muhammad
Published: (2022)
by: Aitsam, Muhammad
Published: (2022)
Differential Privacy for Network Assortativity
by: Ma, Fei, et al.
Published: (2025)
by: Ma, Fei, et al.
Published: (2025)
Network-Aware Differential Privacy
by: Li, Zhou, et al.
Published: (2025)
by: Li, Zhou, et al.
Published: (2025)
Differentially Private Diffusion Models
by: Dockhorn, Tim, et al.
Published: (2022)
by: Dockhorn, Tim, et al.
Published: (2022)
Unclonable Cryptography with Unbounded Collusions and Impossibility of Hyperefficient Shadow Tomography
by: Çakan, Alper, et al.
Published: (2023)
by: Çakan, Alper, et al.
Published: (2023)
Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
by: Oliveira, Júlio, et al.
Published: (2026)
by: Oliveira, Júlio, et al.
Published: (2026)
Differentially Private Iterative Screening Rules for Linear Regression
by: Khanna, Amol, et al.
Published: (2025)
by: Khanna, Amol, et al.
Published: (2025)
Similar Items
-
Enhancing the MILP/MIQCP-based Automatic Search for Differential-Linear Distinguishers of Simon-Like Ciphers
by: Chen, Siwei, et al.
Published: (2024) -
EnThM: Energy Theft Mitigation in Smart Grids using Hierarchical Verification of Metering Data
by: Banerjee, Tapadyoti, et al.
Published: (2026) -
Analyzing Linear Layers in Related-Differential Cryptanalysis
by: Kumar, Yogesh, et al.
Published: (2026) -
Robustness of Locally Differentially Private Graph Analysis Against Poisoning
by: Imola, Jacob, et al.
Published: (2022) -
Metric Differential Privacy at the User-Level Via the Earth Mover's Distance
by: Imola, Jacob, et al.
Published: (2024)