Results 81 to 90 of about 5,380,268 (331)
IEEE Access, 2020 Person re-identification across a network of cameras, with disjoint views, has been studied extensively due to its importance in wide-area video surveillance.
Yu Zheng, Yantao Lu, Senem Velipasalar
doaj +1 more source
Adversarial Examples Improve Image Recognition [PDF]
Computer Vision and Pattern Recognition, 2019 Adversarial examples are commonly viewed as a threat to ConvNets. Here we present an opposite perspective: adversarial examples can be used to improve image recognition models if harnessed in the right manner.
Cihang Xie +5 more
semanticscholar +1 more source
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models [PDF]
Computer Vision and Pattern RecognitionDiffusion Models (DMs) have shown remarkable capa-bilities in various image-generation tasks. However, there are growing concerns that DMs could be used to imitate unauthorized creations and thus raise copyright issues.
Peifei Zhu +2 more
semanticscholar +1 more source
Instance attack: an explanation-based vulnerability analysis framework against DNNs for malware detection [PDF]
PeerJ Computer Science, 2023 Deep neural networks (DNNs) are increasingly being used in malware detection and their robustness has been widely discussed. Conventionally, the development of an adversarial example generation scheme for DNNs involves either detailed knowledge ...
Ruijin Sun +6 more
doaj +2 more sources
IEEE Access, 2022 The internet-of-Vehicle (IoV) can facilitate seamless connectivity between connected vehicles (CV), autonomous vehicles (AV), and other IoV entities. Intrusion Detection Systems (IDSs) for IoV networks can rely on machine learning (ML) to protect the in ...
Ibrahim Aliyu +4 more
doaj +1 more source
On the Geometry of Adversarial Examples
CoRR, 2018 Adversarial examples are a pervasive phenomenon of machine learning models where seemingly imperceptible perturbations to the input lead to misclassifications for otherwise statistically accurate models. We propose a geometric framework, drawing on tools from the manifold reconstruction literature, to analyze the high-dimensional geometry of ...
Marc Khoury, Dylan Hadfield-Menell
openaire +2 more sources
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
Annual Meeting of the Association for Computational Linguistics, 2019 We address the problem of adversarial attacks on text classification, which is rarely studied comparing to attacks on image classification. The challenge of this task is to generate adversarial examples that maintain lexical correctness, grammatical ...
Shuhuai Ren +3 more
semanticscholar +1 more source
Adversarial Examples for Semantic Segmentation and Object Detection [PDF]
IEEE International Conference on Computer Vision, 2017 It has been well demonstrated that adversarial examples, i.e., natural images with visually imperceptible perturbations added, cause deep networks to fail on image classification. In this paper, we extend adversarial examples to semantic segmentation and
Cihang Xie +5 more
semanticscholar +1 more source
Detecting adversarial examples of text
, 2021 Although deep neural networks have achieved state-of-the-art performance in various tasks, a lot of their decisions are non-interpretable because high dimensional feature vectors cause deep neural net functions to be extremely difficult to visualize ...
Na Liu (10562882)
core +1 more source
Human-Producible Adversarial Examples
CoRR, 2023 Submitted to ICLR ...
David Khachaturov +5 more
openaire +2 more sources