Nov 30, 2023 · We demonstrate the effectiveness and robustness of our universal backdoor attacks by controlling models with up to 6,000 classes while poisoning ...
Oct 19, 2023 · This paper introduced a universal backdoor attack, a data poisoning method that targets arbitrary categories. Specifically, the authors crafted triggers by ...
Jan 20, 2024 · To create an effective Universal Backdoor, the process of learning a poison for one class must reinforce poisons that target other similar ...
In this paper, we propose a new backdoor attack method called UOR, which overcomes these limitations by turning manual selection into automatic optimization.
This repository contains the official implementation of our Universal Backdoor Attack, the baseline attack and example configurations for reproducing the ...
A backdoor attack, as a special kind of adversarial attack, aims to mislead the target model to predict samples with a trigger pattern into a predefined label.
UOR: Universal Backdoor Attacks on Pre-trained Language Models
ui.adsabs.harvard.edu › abs › abstract
A new backdoor attack method called UOR, which breaks the bottleneck of the previous approach by turning manual selection into automatic optimization.
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Aug 11, 2024 · Backdoor attacks against PLMs can be classified into task-specific and task-agnostic attacks based on whether they have access to downstream ...
UAPs of backdoored models tend to exploit the shortcut from all classes to the target class, built by the backdoor trigger. We propose a novel method called ...
This paper proposes a new backdoor attack method called UOR, which breaks the bottleneck of the previous approach by turning manual selection into automatic ...