Results 211 to 220 of about 79,918 (254)
Some of the next articles are maybe not open access.
Sinkhorn Adversarial Attack and Defense
IEEE Transactions on Image Processing, 2022Adversarial attacks have been extensively investigated in the recent past. Quite interestingly, a majority of these attacks primarily work in the lp space. In this work, we propose a novel approach for generating adversarial samples using Wasserstein distance.
openaire +2 more sources
Adversarial Attacks and Defenses
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020Deep neural networks (DNN) have achieved unprecedented success in numerous machine learning tasks in various domains. However, the existence of adversarial examples leaves us a big hesitation when applying DNN models on safety-critical tasks such as autonomous vehicles and malware detection.
Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
openaire +1 more source
Variational Adversarial Defense: A Bayes Perspective for Adversarial Training
IEEE Transactions on Pattern Analysis and Machine IntelligenceVarious methods have been proposed to defend against adversarial attacks. However, there is a lack of enough theoretical guarantee of the performance, thus leading to two problems: First, deficiency of necessary adversarial training samples might attenuate the normal gradient's back-propagation, which leads to overfitting and gradient masking ...
Chenglong Zhao +5 more
openaire +2 more sources
Defense Against Adversarial Ai
Journal of Cognitive Human-Computer InteractionThe increasing prevalence of deep learning technology has paved the way for a new era of AI-powered capabilities, promising revolutionary advancements across various societal domains such as healthcare and autonomous vehicles. Despite offering potent solutions to complex problems, the formidable power of these AI systems is accompanied by a ...
Bhavani Bhavani +3 more
openaire +1 more source
Adversarial anchor-guided feature refinement for adversarial defense
Image and Vision Computing, 2023Hakmin Lee, Yong Man Ro
openaire +1 more source
Predictive defense against evolving adversaries
2012 IEEE International Conference on Intelligence and Security Informatics, 2012Adaptive adversaries are a primary concern in several domains, including cyber defense, border security, counterterrorism, and fraud prevention, and consequently there is great interest in developing defenses that maintain their effectiveness in the presence of evolving adversary strategies and tactics.
Richard Colbaugh, Kristin Glass
openaire +1 more source
Defensive Bit Planes: Defense Against Adversarial Attacks
2022 International Joint Conference on Neural Networks (IJCNN), 2022Achyut Mani Tripathi +2 more
openaire +1 more source