dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Authors: Sofiane Mahiou, Kai Xu, Georgi Ganev | Published: 2022-07-12
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RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Authors: Dingfan Chen, Ning Yu, Mario Fritz | Published: 2022-07-12
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware
Authors: Luca Demetrio, Battista Biggio, Fabio Roli | Published: 2022-07-12
Federated Unlearning: How to Efficiently Erase a Client in FL?
Authors: Anisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo | Published: 2022-07-12 | Updated: 2023-10-20
Efficient and Privacy Preserving Group Signature for Federated Learning
Authors: Sneha Kanchan, Jae Won Jang, Jun Yong Yoon, Bong Jun Choi | Published: 2022-07-12 | Updated: 2022-07-15
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
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems
Authors: Ibrahim Aliyu, Selinde van Engelenburg, Muhammed Bashir Muazu, Jinsul Kim, Chang Gyoon Lim | 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
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy
Authors: Raphael Olivier, Bhiksha Raj | Published: 2022-07-08 | Updated: 2023-08-10