:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Carreau, Matthieu, Naveiro, Roi, Caballero, William N.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.04480
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simulation Based Bayesian Optimization
by: Naveiro, Roi, et al.
Published: (2024)

Manipulating hidden-Markov-model inferences by corrupting batch data
by: Caballero, William N., et al.
Published: (2024)

Evasion Attacks Against Bayesian Predictive Models
by: Arce, Pablo G., et al.
Published: (2025)

A unifying Bayesian framework for adversarial robustness
by: Arce, Pablo G., et al.
Published: (2025)

Adversarial Machine Learning: Bayesian Perspectives
by: Insua, David Rios, et al.
Published: (2020)

Protecting Classifiers From Attacks
by: Gallego, Victor, et al.
Published: (2020)

Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning
by: Chang, Wenhan, et al.
Published: (2024)

Interpolation-Free Deep Learning for Meteorological Downscaling on Unaligned Grids Across Multiple Domains with Application to Wind Power
by: Giroux, Jean-Sébastien, et al.
Published: (2024)

Data Distribution Valuation Using Generalized Bayesian Inference
by: Nguyen, Cuong N., et al.
Published: (2026)

Fast MoE Inference via Predictive Prefetching and Expert Replication
by: Jyothish, Ankit, et al.
Published: (2026)

Delete My Account: Impact of Data Deletion on Machine Learning Classifiers
by: Dam, Tobias, et al.
Published: (2023)

What Really is a Member? Discrediting Membership Inference via Poisoning
by: Mangaokar, Neal, et al.
Published: (2025)

A Probabilistic U-Net Approach to Downscaling Climate Simulations
by: Alipourhajiagha, Maryam, et al.
Published: (2025)

Indiscriminate Disruption of Conditional Inference on Multivariate Gaussians
by: Caballero, William N., et al.
Published: (2024)

Are Targeted Data Poisoning Attacks as Effective as We Think?
by: Xu, William, et al.
Published: (2025)

Spectral Geometry of LoRA Adapters Encodes Training Objective and Predicts Harmful Compliance
by: Paul, Roi
Published: (2026)

Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
by: Livni, Roi
Published: (2023)

Data Deletion for Linear Regression with Noisy SGD
by: Xia, Zhangjie, et al.
Published: (2024)

Bayesian Prediction-Powered Inference
by: Hofer, R. Alex, et al.
Published: (2024)

Policy Teaching via Data Poisoning in Learning from Human Preferences
by: Nika, Andi, et al.
Published: (2025)

Approximate Bayesian Inference via Bitstring Representations
by: Sladek, Aleksanteri, et al.
Published: (2025)

The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
by: Livni, Roi
Published: (2024)

Data Deletion Can Help in Adaptive RL
by: Budhraja, Param, et al.
Published: (2026)

Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning
by: Bouaziz, Wassim, et al.
Published: (2024)

DeDelayed: Deleting Remote Inference Delay via On-Device Correction
by: Jacobellis, Dan, et al.
Published: (2025)

Attribute-to-Delete: Machine Unlearning via Datamodel Matching
by: Georgiev, Kristian, et al.
Published: (2024)

On Robustness of Linear Classifiers to Targeted Data Poisoning
by: Gupta, Nakshatra, et al.
Published: (2025)

Adversarial Bias: Data Poisoning Attacks on Fairness
by: Chan, Eunice, et al.
Published: (2025)

Data Poisoning and Leakage Analysis in Federated Learning
by: Wei, Wenqi, et al.
Published: (2024)

MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
by: Nath, Shruti, et al.
Published: (2024)

TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)

Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
by: De Gaspari, Fabio, et al.
Published: (2024)

Robust Experimental Design via Generalised Bayesian Inference
by: Barlas, Yasir Zubayr, et al.
Published: (2025)

Hiding Backdoors within Event Sequence Data via Poisoning Attacks
by: Ermilova, Alina, et al.
Published: (2023)

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
by: Huang, Daolang, et al.
Published: (2025)

From Mice to Trains: Amortized Bayesian Inference on Graph Data
by: Jedhoff, Svenja, et al.
Published: (2026)

Provable Watermarking for Data Poisoning Attacks
by: Zhu, Yifan, et al.
Published: (2025)

The Effect of Data Poisoning on Counterfactual Explanations
by: Artelt, André, et al.
Published: (2024)

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
by: Aristodemou, Marios, et al.
Published: (2025)

All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension
by: Burla, Tal, et al.
Published: (2026)