Results 41 to 50 of about 619 (184)
A Momentum-Based Local Face Adversarial Example Generation Algorithm
Algorithms, 2022 Small perturbations can make deep models fail. Since deep models are widely used in face recognition systems (FRS) such as surveillance and access control, adversarial examples may introduce more subtle threats to face recognition systems. In this paper,
Dapeng Lang +3 more
doaj +1 more source
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
, 2023 Deep neural networks are known to be susceptible to adversarial perturbations -- small perturbations that alter the output of the network and exist under strict norm limitations. While such perturbations are usually discussed as tailored to a specific input, a universal perturbation can be constructed to alter the model's output on a set of inputs ...
Yaniv Nemcovsky +3 more
openaire +2 more sources
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
CoRR, 2022 accepted at ICLR ...
Maksym Yatsura +4 more
openaire +3 more sources
IPatch: a remote adversarial patch
Cybersecurity, 2023 Applications such as autonomous vehicles and medical screening use deep learning models to localize and identify hundreds of objects in a single frame. In the past, it has been shown how an attacker can fool these models by placing an adversarial patch ...
Yisroel Mirsky
doaj +1 more source
Remote Sensing, 2023 The “low, slow, and small” target (LSST) poses a significant threat to the military ground unit. It is hard to defend against due to its invisibility to numerous detecting devices.
Jarhinbek Rasol +7 more
doaj +1 more source
Advanced Materials, EarlyView.This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Unified Adversarial Patch for Cross-modal Attacks in the Physical World
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 10 pages, 8 figures, accepted by ...
Xingxing Wei 0001 +3 more
openaire +2 more sources
Adaptive Rotation-Scaling Ensemble Patch Attack for Ship Detection in Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingExisting adversarial patch generation methods for remote sensing ship detection suffer from several limitations, including insufficient adaptability to patch size, inability to handle orientation variations of rotated ships, and poor transferability of ...
Qi Wang +5 more
doaj +1 more source
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Accepted by CVPR ...
Lihua Jing +4 more
openaire +2 more sources