Robuta

https://pmc.ncbi.nlm.nih.gov/articles/PMC10984073/? Exposing Vulnerabilities in Clinical LLMs Through Data Poisoning Attacks: Case Study in Breast... Training Large Language Models (LLMs) with billions of parameters on a dataset and publishing the model for public access is the standard practice currently.... data poisoning attacks https://arxiv.org/html/2404.12778v1 Defending against Data Poisoning Attacks in Federated Learning via User Elimination data poisoning attacks federated learning defending https://openreview.net/forum?id=VpyyUM64AQ Run-off Election: Improved Provable Defense against Data Poisoning Attacks | OpenReview In data poisoning attacks, an adversary tries to change a model's prediction by adding, modifying, or removing samples in the training data. Recently,... run off election data poisoning attacks improved provable https://www.preprints.org/manuscript/202506.2218 A Robust Federated Learning Against Data Poisoning Attacks: Prevention and Detection of Attacked... Federated Learning (FL) enables collaborative modelbuilding among a large number of participants without sharingthe sensitive data to the central server.... data poisoning attacks https://openreview.net/forum?id=rK0YJwL69S Protecting against simultaneous data poisoning attacks | OpenReview Current backdoor defense methods are evaluated against a single attack at a time. This is unrealistic, as powerful machine learning systems are trained on... data poisoning attacks protecting simultaneous openreview https://www.securitymagazine.com/articles/100590-are-ai-data-poisoning-attacks-the-new-software-supply-chain-attack Are AI data poisoning attacks the new software supply chain attack? | Security Magazine With rapid AI adoption happening across varying business units, maintaining the integrity of those systems is a growing concern. data poisoning attacks software supply chain