QQ客服 官方微博 反馈留言

浏览/检索结果: 共9条，第1-9条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13 作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Liu, Bin;  Wang, Xiao;  Mao, Wenji 收藏  |  浏览/下载：15/0  |  提交时间：2022/11/14 Training  Task analysis  Semantics  Perturbation methods  Feature extraction  Computational modeling  Robustness  Adversarial perturbation  adversarially robust training  deep hashing  multimodal retrieval   Perturbation Inactivation Based Adversarial Defense for Face Recognition 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2947-2962 作者:  Ren, Min;  Zhu, Yuhao;  Wang, Yunlong;  Sun, Zhenan 收藏  |  浏览/下载：7/0  |  提交时间：2022/11/14 Face recognition  Perturbation methods  Robustness  Immune system  Principal component analysis  Deep learning  Training  Adversarial machine learning  deep learning  graph neural network  face recognition   Adversarial Analysis for Source Camera Identification 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 11, 页码: 4174-4186 作者:  Wang, Bo;  Zhao, Mengnan;  Wang, Wei;  Dai, Xiaorui;  Li, Yi 收藏  |  浏览/下载：34/0  |  提交时间：2021/12/28 Cameras  Feature extraction  Forensics  Task analysis  Perturbation methods  Neural networks  Training  Adversarial attacks  fingerprint copy-move attack  joint feature-based auto-learning attack  relation mismatch   Adversarial Perturbation Defense on Deep Neural Networks 期刊论文 ACM COMPUTING SURVEYS, 2021, 卷号: 54, 期号: 8, 页码: 36 作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji 收藏  |  浏览/下载：42/0  |  提交时间：2021/12/28 Adversarial perturbation defense  deep neural networks  security  origin   Are You Confident That You Have Successfully Generated Adversarial Examples? 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 6, 页码: 2089-2099 作者:  Wang, Bo;  Zhao, Mengnan;  Wang, Wei;  Wei, Fei;  Qin, Zhan 收藏  |  浏览/下载：69/0  |  提交时间：2021/08/15 Perturbation methods  Iterative methods  Computational modeling  Neural networks  Security  Training  Robustness  Deep neural networks  adversarial examples  structural black box  buffer   FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4791-4804 作者:  Lan, Yazhu;  Nixon, Kent W.;  Guo, Qingli;  Zhang, Guohe;  Xu, Yuanchao 收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01 Perturbation methods  Computational modeling  Data integrity  Detectors  Optimization  Field programmable gate arrays  Hardware  Adversarial attacks  confidence detection  deep neural networks (DNNs)  FPGA-based hardware architecture  sensor pattern noise (SPN)   Efficient Joint Gradient Based Atack Against SOR Defense for 3D Point Cloud Classification 会议论文 Virtual, October 12–16, 2020 作者:  Chengcheng Ma;  Weiliang Meng;  Baoyuan Wu;  Shibiao Xu;  Xiaopeng Zhang 收藏  |  浏览/下载：21/0  |  提交时间：2022/04/02 INOR-An Intelligent noise reduction method to defend against adversarial audio examples 期刊论文 NEUROCOMPUTING, 2020, 卷号: 401, 页码: 160-172 作者:  Guo, Qingli;  Ye, Jing;  Chen, Yiran;  Hu, Yu;  Lan, Yazhu 收藏  |  浏览/下载：16/0  |  提交时间：2020/12/10 Adversarial audio examples  Defense against adversarial audio examples  INOR   Markov Chain Based Efficient Defense Against Adversarial Examples in Computer Vision 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 5695-5706 作者:  Yue Zhou;  Xiaofang Hu;  Lidan Wang;  Shukai Duan;  Yiran Chen 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/13 Markov  processes  Machine  learning  Computer  vision  Perturbation  methods  Security  Image  recognition  Probability  Machine  learning  adversarial  examples  defense  method  Markov  chain