2.3 Collaborative Multimodal Adversarial Attack (Co-Attack) 尽管上述分析发现同时扰动文本和视觉模态比单独扰动一种模态更有效。 然而,如最开始所讨论的,独立攻击两种模式可能会导致 1 + 1 < 1 抵消效应。因此,作者通过开发一种协作多模态对抗攻击解决方案来解决这个问题,称为协作多模态对抗攻击(Co-Attack)。 这...
Adversarial AttackVisual TrackingNoise-injected Markov chain Monte CarloMultimedia Tools and Applications - We present a novel noise-injected Markov chain Monte Carlo (NMCMC) method for visual tracking, which enables fast convergence through adversarial attacks. The......
adversarial attack has been applied to visual object tracking to evaluate the robustness of deep trackers. Assuming that the model structures of deep trackers are known, a variety of white-box attack approaches to visual tracking have demonstrated...
4、 Attend & Attack: Attention targeted visual attacks 在本节中,我们将介绍用于生成敌意图像以攻击VQA模型的模型。消融研究表明,注意力机制是这些模型中非常关键的部分。这促使我们尝试并通过生成对抗性样本来攻击这种注意机制,对于这些样本,模型可能无法关注图像中的正确对象。我们将我们的注意力定向视觉攻击模型称为...
2020cvpr论文阅读之Efficient Adversarial Attacks for Visual ObjectTracking 视觉目标跟踪的高效对抗攻击 摘要 现有的最先进的物体跟踪器,即基于暹罗的跟踪器,使用DNNs来获得高精度。然而,视觉跟踪模型的鲁棒性很少被研究。在本文中,我们分析了基于暹罗网络的目标跟踪器的弱点,并把反例扩展到视觉目标跟踪。我们提出了一种...
In this paper, we delve into a new problem: using a pre-trained multimodal source model to create adversarial image-text pairs and then transferring them to attack the target VQA models. Correspondingly, we propose a novel VQAttack model, which can iteratively generate both image and text ...
One-shot Adversarial Attacks on Visual Tracking with Dual Attention What Machines See Is Not What They Get: Fooling Scene Text Recognition Models with Adversarial Text Images Robust Superpixel-Guided Attentional Adversarial Attack Physically Realizable Adversarial Examples for LiDAR Object Detection PhysGAN:...
4). Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet [Paper] 1. Background and Motivation: 本文是首次将对抗攻击技术用于攻击 visual tracker。本文提出一种对抗纹理(Physical Adversarial Textures (PAT)),并且成功的攻击了基于回归的跟踪器 GOTURN。作者认为攻击一个 tracking 系统相比...
One-shot Adversarial Attacks on Visual Tracking with Dual Attention What Machines See Is Not What They Get: Fooling Scene Text Recognition Models with Adversarial Text Images Robust Superpixel-Guided Attentional Adversarial Attack Physically Realizable Adversarial Examples for LiDAR Object Detection ...
18. Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature 会议:AAAI 2020. AAAI Technical Track: Vision. 作者:Bo Liu, Qiulei Dong, Zhanyi Hu 链接:https://aaai.org/ojs/index.php/AAAI/article/view/6821/6675 19. Adversarial Learning of Privacy-Preserving and Task-Oriente...