specific topic. Additionally, the search for “synthetic medical images” is not equivalent to the “medical imaging adversarial examples” search, because the first are mainly used for data augmentation of small datasets, which means that they are not constructed to mislead ML models but the ...
In this work, we provide a theoretical foundation for crafting transferable adversarial examples to entire hypothesis classes. We introduce Adversarial Example Games (AEG), a framework that models the crafting of adversarial examples as a min-max game between a generator of attacks and a classifier....
In this adversarial setting, the accuracy of sixteen published models drops from an average of 75% F1 score to 36%; when the adversary is allowed to add ungrammatical sequences of words, average accuracy on four models decreases further to 7%. We hope our insights will motivate the ...
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. [pdf] [code] Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen. ICLR, 2023. Diffusion Models for Imperceptible and Transferable Adversarial Attack. [pdf] [code] Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang...
and Llama-2 without having direct access to them. The examples shown here are all actual outputs of these systems. The adversarial prompt can elicit arbitrary harmful behaviors from these models with high probability, demonstrating potentials for misuse. To achieve this, our attack (Greedy Coordinate...
Code Issues Pull requests Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with...
by the generator of the adversarial network (which is the encoder of the autoencoder) instead of a KL divergence for it to learn how to produce samples according to the distribution $p(z)$. This modification allows us to use a broader set of distributions as priors for the latent code. ...
The image of vehicles is previously published at https://commons.wikimedia.org/wiki/File:C3top.png under the Creative Common CC0 1.0 Universal Public Domain Dedication. d Examples of empirical distributions of vehicle maneuvers for each category. States of the examples are r1 = 30 m v...
These advances support technologies such as autonomous vehicles and machine diagnosis; but beyond this, they serve as candidate models for human vision itself. However, unlike humans, CNNs are “fooled” by adversarial examples—nonsense patterns that machines recognize as familiar objects, or ...
The experiments, therefore, focus on defending against AML on these methods as the state of the art in ML-driven attack detection methods for ICS. Table 1. Summary of current work on Intrusion Detection Systems in Industrial Control Systems. CitationPublication dateDatasetMachine learning models [...