Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement
Authors: Chi Zhang, Jingjing Fan, Man Ho Au, Siu Ming Yiu | Published: 2024-02-17 | Updated: 2024-06-07
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DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
Authors: Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora | Published: 2024-02-16
Private PAC Learning May be Harder than Online Learning
Authors: Mark Bun, Aloni Cohen, Rathin Desai | Published: 2024-02-16
Using Hallucinations to Bypass GPT4’s Filter
Authors: Benjamin Lemkin | Published: 2024-02-16 | Updated: 2024-03-11
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks
Authors: Meiyi Zhu, Caili Guo, Chunyan Feng, Osvaldo Simeone | Published: 2024-02-16 | Updated: 2025-05-13
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
Authors: Songjie Xie, Youlong Wu, Jiaxuan Li, Ming Ding, Khaled B. Letaief | Published: 2024-02-16
Measuring and Reducing LLM Hallucination without Gold-Standard Answers
Authors: Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu | Published: 2024-02-16 | Updated: 2024-06-06
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets
Authors: Irina Arévalo, Jose L. Salmeron | Published: 2024-02-15
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Authors: Enrique Mármol Campos, Aurora González Vidal, José Luis Hernández Ramos, Antonio Skarmeta | Published: 2024-02-15
How Much Does Each Datapoint Leak Your Privacy? Quantifying the Per-datum Membership Leakage
Authors: Achraf Azize, Debabrota Basu | Published: 2024-02-15