Unbiased Watermark for Large Language Models
Authors: Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang | Published: 2023-09-22 | Updated: 2023-10-18
Statistical Hypothesis Testing
Robust Distortion-free Watermarks for Language Models
Authors: Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang | Published: 2023-07-28 | Updated: 2024-06-06
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Authors: Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi | Published: 2022-10-24 | Updated: 2023-08-10
On the Robustness of Dataset Inference
Authors: Sebastian Szyller, Rui Zhang, Jian Liu, N. Asokan | Published: 2022-10-24 | Updated: 2023-06-19
Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques
Authors: Ashly Lau, Jonathan Passerat-Palmbach | Published: 2021-09-06
Dataset Inference: Ownership Resolution in Machine Learning
Authors: Pratyush Maini, Mohammad Yaghini, Nicolas Papernot | Published: 2021-04-21
Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols
Authors: Stefano M P C Souza, Daniel G Silva | Published: 2021-04-03
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Authors: Eyke Hüllermeier, Willem Waegeman | Published: 2019-10-21 | Updated: 2020-09-16
Time Series Analysis of Big Data for Electricity Price and Demand to Find Cyber-Attacks part 2: Decomposition Analysis
Authors: Mohsen Rakhshandehroo, Mohammad Rajabdorri | Published: 2019-07-30
Adversarial Examples from Cryptographic Pseudo-Random Generators
Authors: Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn | Published: 2018-11-15