Results 191 to 200 of about 177,286 (215)

On The Generation of Unrestricted Adversarial Examples

2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2020
Adversarial examples are inputs designed by an adversary with the goal of fooling the machine learning models. Most of the research about adversarial examples have focused on perturbing the natural inputs with the assumption that the true label remains unchanged.
Mehrgan Khoshpasand, Ali A. Ghorbani 0001   +1 more
openaire   +1 more source

On the Salience of Adversarial Examples

2019
Adversarial examples are beginning to evolve as rapidly as the deep learning models they are designed to attack. These intentionally-manipulated inputs attempt to mislead the targeted model while maintaining the appearance of innocuous input data. Countermeasures against these attacks that take a global approach tend to be lossy to the original data ...
openaire   +1 more source

Adversarial Examples for Malware Detection

2017
Machine learning models are known to lack robustness against inputs crafted by an adversary. Such adversarial examples can, for instance, be derived from regular inputs by introducing minor—yet carefully selected—perturbations.
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick McDaniel   +4 more
openaire   +1 more source

Advops: Decoupling Adversarial Examples

Pattern Recognition, 2023
Donghua Wang, Wen Yao, Tingsong Jiang, Xiaoqian Chen   +3 more
openaire   +1 more source

Learning defense transformations for counterattacking adversarial examples

Neural Networks, 2023
Jincheng Li, Jiezhang Cao, Mingkui Tan   +2 more
exaly  

Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses

IEEE Transactions on Geoscience and Remote Sensing, 2021
Yonghao Xu, Bo Du, Liangpei Zhang
exaly  

Generating adversarial examples via enhancing latent spatial features of benign traffic and preserving malicious functions

Neurocomputing, 2022
Senlin Luo, Limin Pan, Jingwei Hao
exaly  

Self-Recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

IEEE Transactions on Circuits and Systems for Video Technology, 2023
Jiawei Zhang, Jinwei Wang, Hao Wang
exaly  

Adversarial Examples with Specular Highlights

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
Vanshika Vats, Koteswar Rao Jerripothula
openaire   +1 more source

EnsembleFool: A method to generate adversarial examples based on model fusion strategy

Computers and Security, 2021
Wenyu Peng, Renyang Liu, Ruxin Wang
exaly