Results 111 to 120 of about 505,564 (200)

Adversarial Attacks Against World Models: Hallucination-Driven Policy Failure

Applied Sciences
World models have demonstrated powerful environment modeling capabilities in scenarios such as autonomous driving and robotics, but their adversarial security issues remain underexplored, in particular, adversarial risk analysis of world models.
Junjian Zhang, Hao Tan, Ruonan Li, Aiping Li, Zhaoquan Gu   +4 more
doaj   +1 more source

Rigid Body Adversarial Attacks

2025 International Conference on 3D Vision (3DV)
Due to their performance and simplicity, rigid body simulators are often used in applications where the objects of interest can considered very stiff. However, no material has infinite stiffness, which means there are potentially cases where the non-zero compliance of the seemingly rigid object can cause a significant difference between its ...
Aravind Ramakrishnan, David I. W. Levin, Alec Jacobson   +2 more
openaire   +4 more sources

Learning to Cope with Adversarial Attacks

CoRR, 2019
The security of Deep Reinforcement Learning (Deep RL) algorithms deployed in real life applications are of a primary concern. In particular, the robustness of RL agents in cyber-physical systems against adversarial attacks are especially vital since the cost of a malevolent intrusions can be extremely high. Studies have shown Deep Neural Networks (DNN),
Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary 0001, Soumik Sarkar   +3 more
openaire   +2 more sources

Attack Tree Analysis for Adversarial Evasion Attacks [PDF]

, 2023
Recently, the evolution of deep learning has promoted the application of machine learning (ML) to various systems. However, there are ML systems, such as autonomous vehicles, that cause critical damage when they misclassify.
Yamaguchi, Yuki, Aoki, Toshiaki
core  

DLSF:A Textual Adversarial Attack Method Based on Dual-level Semantic Filtering [PDF]

Jisuanji kexue
In the field of commercial applications,deep learning-based text models play a crucial role but are also susceptible to adversarial samples,such as the incorporation of confusing vocabulary into reviews leading to erroneous model responses.A strong ...
XIONG Xi, DING Guangzheng, WANG Juan, ZHANG Shuai
doaj   +1 more source

Adversarial Attack and Defense in Breast Cancer Deep Learning Systems. [PDF]

Bioengineering (Basel), 2023
Li Y, Liu S.
europepmc   +1 more source

Image classification adversarial attack with improved resizing transformation and ensemble models. [PDF]

PeerJ Comput Sci, 2023
Li C, Zhang H, Yang B, Wang J.
europepmc   +1 more source

Financial Development in Adversarial and Inquisitorial Legal Systems [PDF]

This paper analyzes how the adversarial and inquisitorial evidence collection procedures affect financial development. In investigating the true returns of insolvent entrepreneurs, the adversarial procedure relies on lawyers whereas the inquisitorial ...
Massenot Baptiste
core  

Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing. [PDF]

BMC Med Inform Decis Mak, 2023
Yu J, Qiu K, Wang P, Su C, Fan Y, Cao Y.
europepmc   +1 more source

A Security Study of Multimodel Artificial Intelligence System: Adaptive Retention Attack for Object Detection System with Multifocus Image Fusion Model

Advanced Intelligent Systems
Image preprocessing models are usually employed as the preceding operations of high‐level vision tasks to improve the performance. The adversarial attack technology makes both these models face severe challenges.
Xueshuai Gao, Xin Jin, Shengfa Miao, Qian Jiang, Yunyun Dong, Wei Zhou, Shaowen Yao   +6 more
doaj   +1 more source