Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
Authors: Stephan Rabanser | Published: 2025-08-11
差分プライバシー
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
Authors: Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flavio du Pin Calmon, Jean Louis Raisaro | Published: 2025-07-09
Efficient Unlearning with Privacy Guarantees
Authors: Josep Domingo-Ferrer, Najeeb Jebreel, David Sánchez | Published: 2025-07-07
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training
Authors: Ismail Labiad, Mathurin Videau, Matthieu Kowalski, Marc Schoenauer, Alessandro Leite, Julia Kempe, Olivier Teytaud | Published: 2025-07-02
Machine Learning with Privacy for Protected Attributes
Authors: Saeed Mahloujifar, Chuan Guo, G. Edward Suh, Kamalika Chaudhuri | Published: 2025-06-24
Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform
Authors: Jay Roberts, Kyle Mylonakis, Sidhartha Roy, Kaan Kale | Published: 2025-06-11
Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
Authors: Hang Liu, Anna Scaglione, Sean Peisert | Published: 2025-06-04
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
Authors: Antti Koskela, Tejas Kulkarni | Published: 2025-05-26
Verifying Differentially Private Median Estimation
Authors: Hyukjun Kwon, Chenglin Fan | Published: 2025-05-22
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Authors: Chetan Pathade, Shubham Patil | Published: 2025-05-12