dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Authors: Sofiane Mahiou, Kai Xu, Georgi Ganev | Published: 2022-07-12
Algorithm Design
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Authors: Behrooz Razeghi, Flavio P. Calmon, Deniz Gunduz, Slava Voloshynovskiy | Published: 2022-07-11
SALSA: Attacking Lattice Cryptography with Transformers
Authors: Emily Wenger, Mingjie Chen, François Charton, Kristin Lauter | Published: 2022-07-11 | Updated: 2023-04-21
PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning
Authors: Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Kavun, Chenghua Lin | Published: 2022-07-11
Best Subset Selection with Efficient Primal-Dual Algorithm
Authors: Shaogang Ren, Guanhua Fang, Ping Li | Published: 2022-07-05
Defending against the Label-flipping Attack in Federated Learning
Authors: Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia | Published: 2022-07-05
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
Authors: Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi | Published: 2022-07-04 | Updated: 2023-04-09
FL-Defender: Combating Targeted Attacks in Federated Learning
Authors: Najeeb Jebreel, Josep Domingo-Ferrer | Published: 2022-07-02
When Does Differentially Private Learning Not Suffer in High Dimensions?
Authors: Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta | Published: 2022-07-01 | Updated: 2022-10-26
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound
Authors: Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth | Published: 2022-06-29 | Updated: 2023-05-31